Data Science and Machine Learning
Group Project BUY&GO
Tiago Rodrigues
10-04-2021
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import MinMaxScaler
import math
from matplotlib.patches import Patch
from matplotlib.lines import Line2D
from scipy.stats import boxcox
from scipy.special import inv_boxcox
from sklearn.preprocessing import power_transform
import scipy as sp
from scipy import stats
from matplotlib import gridspec
from numpy import unique
from numpy import where
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs
from sklearn.metrics import silhouette_score
from sklearn.preprocessing import StandardScaler
from kneed import KneeLocator, DataGenerator
from scipy.cluster import hierarchy
Funções auxiliares
def stats (lista):
median = '{:.2f}'.format(lista.median())
Q1 = '{:.2f}'.format(np.percentile(lista, 25))
Q3 = '{:.2f}'.format(np.percentile(lista, 75))
skew = '{:.2f}'.format(sp.stats.skew(lista) )
return (median, Q1, Q3, skew)
def stats2 (lista):
mean = '{:.2f}'.format(lista.mean())
Q1 = '{:.2f}'.format(np.percentile(lista, 25))
Q3 = '{:.2f}'.format(np.percentile(lista, 75))
skew = '{:.2f}'.format(sp.stats.skew(lista) )
return (mean, Q1, Q3, skew)
df1_original = pd.read_excel('demographic.xlsx')
df2_original = pd.read_csv('firmographic.csv')
df1 = df1_original
df1.set_index('Card_ID', inplace = True)
df1.drop_duplicates(inplace = True)
df1.head(n=5)
| Name | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Country | |
|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||
| 10003075 | Mr. Adam Glover | 1981 | Master | Together | 90782.0 | 0 | 0 | Cork | Ireland |
| 10003076 | Mr. Cameron McDonald | 1993 | PhD | Single | 113023.0 | 0 | 0 | Kinsale | Ireland |
| 10003078 | Mr. Keith Davidson | 1982 | PhD | Single | 93571.0 | 0 | 1 | Cork | Ireland |
| 10003079 | Mr. Alexander Gill | 1978 | PhD | Single | 91852.0 | 0 | 1 | Kinsale | Ireland |
| 10003080 | Mr. Neil Piper | 1968 | PhD | Married | 22386.0 | 1 | 1 | Cork | Ireland |
df2 = df2_original
df2.set_index('Card_ID', inplace = True)
df2.drop_duplicates(inplace = True)
df2.head(n=5)
| Dt_Customer | Recency | MntGroceries | MntStationery | MntHouseKeeping | MntWellness_&_Beauty | MntElectronics_&_Supplies | MntLimitedEdition | NumDealsPurchases | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Complain | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||
| 10003075 | 11/3/2018 | 66 | 622.0 | 70.0 | 678.0 | NaN | 51.0 | 34.0 | 1 | 12 | 7 | 10 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10003076 | 4/18/2019 | 6 | 1014.0 | 15.0 | 643.0 | 74.0 | 36.0 | 36.0 | 1 | 9 | 4 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003078 | 7/22/2018 | 10 | 639.0 | 88.0 | 185.0 | 64.0 | 53.0 | 160.0 | 3 | 13 | 5 | 13 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003079 | 2/3/2018 | 26 | 806.0 | 56.0 | 350.0 | 54.0 | 54.0 | 260.0 | 1 | 15 | 9 | 11 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10003080 | 10/31/2018 | 65 | 32.0 | 1.0 | 29.0 | 2.0 | 0.0 | 20.0 | 5 | 9 | 3 | 3 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
df = df1.merge(df2, on = 'Card_ID' )
df.head(n=5)
| Name | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Country | Dt_Customer | ... | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Complain | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | Mr. Adam Glover | 1981 | Master | Together | 90782.0 | 0 | 0 | Cork | Ireland | 11/3/2018 | ... | 12 | 7 | 10 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10003076 | Mr. Cameron McDonald | 1993 | PhD | Single | 113023.0 | 0 | 0 | Kinsale | Ireland | 4/18/2019 | ... | 9 | 4 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003078 | Mr. Keith Davidson | 1982 | PhD | Single | 93571.0 | 0 | 1 | Cork | Ireland | 7/22/2018 | ... | 13 | 5 | 13 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003079 | Mr. Alexander Gill | 1978 | PhD | Single | 91852.0 | 0 | 1 | Kinsale | Ireland | 2/3/2018 | ... | 15 | 9 | 11 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10003080 | Mr. Neil Piper | 1968 | PhD | Married | 22386.0 | 1 | 1 | Cork | Ireland | 10/31/2018 | ... | 9 | 3 | 3 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
5 rows × 28 columns
df.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 5000 entries, 10003075 to 10013073 Data columns (total 28 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Name 4999 non-null object 1 Year_Birth 5000 non-null int64 2 Education 5000 non-null object 3 Marital_Status 5000 non-null object 4 Income 4948 non-null float64 5 Kidhome 5000 non-null int64 6 Teenhome 5000 non-null int64 7 Region 5000 non-null object 8 Country 5000 non-null object 9 Dt_Customer 5000 non-null object 10 Recency 5000 non-null int64 11 MntGroceries 5000 non-null float64 12 MntStationery 5000 non-null float64 13 MntHouseKeeping 4907 non-null float64 14 MntWellness_&_Beauty 4935 non-null float64 15 MntElectronics_&_Supplies 5000 non-null float64 16 MntLimitedEdition 5000 non-null float64 17 NumDealsPurchases 5000 non-null int64 18 NumWebPurchases 5000 non-null int64 19 NumCatalogPurchases 5000 non-null int64 20 NumStorePurchases 5000 non-null int64 21 NumWebVisitsMonth 5000 non-null int64 22 AcceptedCmp1 5000 non-null int64 23 AcceptedCmp2 5000 non-null int64 24 AcceptedCmp3 5000 non-null int64 25 AcceptedCmp4 5000 non-null int64 26 AcceptedCmp5 5000 non-null int64 27 Complain 5000 non-null int64 dtypes: float64(7), int64(15), object(6) memory usage: 1.1+ MB
#Including only numeric columns in a DataFrame description.
df.describe(include=[np.number]).T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| Year_Birth | 5000.0 | 1973.806600 | 11.870138 | 1946.0 | 1964.0 | 1975.0 | 1983.00 | 2002.00 |
| Income | 4948.0 | 69614.564198 | 28953.396355 | 2195.8 | 47075.5 | 69427.0 | 92119.75 | 187314.45 |
| Kidhome | 5000.0 | 0.440600 | 0.538265 | 0.0 | 0.0 | 0.0 | 1.00 | 2.00 |
| Teenhome | 5000.0 | 0.493600 | 0.546643 | -1.0 | 0.0 | 0.0 | 1.00 | 2.00 |
| Recency | 5000.0 | 49.576400 | 29.000593 | 0.0 | 25.0 | 49.0 | 75.00 | 99.00 |
| MntGroceries | 5000.0 | 363.336740 | 400.096463 | 0.0 | 30.0 | 209.0 | 605.25 | 1799.00 |
| MntStationery | 5000.0 | 27.041220 | 40.069024 | 0.0 | 2.0 | 9.0 | 34.00 | 199.00 |
| MntHouseKeeping | 4907.0 | 185.105910 | 240.357283 | 0.0 | 18.0 | 73.0 | 256.50 | 1093.00 |
| MntWellness_&_Beauty | 4935.0 | 32.237285 | 47.312292 | 0.0 | 3.0 | 11.0 | 41.00 | 239.00 |
| MntElectronics_&_Supplies | 5000.0 | 35.049700 | 54.325949 | 0.0 | 3.0 | 11.0 | 42.00 | 315.00 |
| MntLimitedEdition | 5000.0 | 55.765500 | 69.240596 | 0.0 | 11.0 | 30.0 | 71.00 | 424.00 |
| NumDealsPurchases | 5000.0 | 2.258800 | 1.812313 | 0.0 | 1.0 | 2.0 | 3.00 | 15.00 |
| NumWebPurchases | 5000.0 | 10.244800 | 5.347990 | 1.0 | 8.0 | 10.0 | 12.00 | 231.00 |
| NumCatalogPurchases | 5000.0 | 4.546400 | 2.802395 | 0.0 | 2.0 | 4.0 | 6.00 | 13.00 |
| NumStorePurchases | 5000.0 | 5.730800 | 3.275191 | 0.0 | 3.0 | 5.0 | 8.00 | 13.00 |
| NumWebVisitsMonth | 5000.0 | 5.278600 | 3.148677 | 0.0 | 3.0 | 6.0 | 7.00 | 137.00 |
| AcceptedCmp1 | 5000.0 | 0.080200 | 0.271630 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
| AcceptedCmp2 | 5000.0 | 0.068600 | 0.252798 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
| AcceptedCmp3 | 5000.0 | 0.077800 | 0.267883 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
| AcceptedCmp4 | 5000.0 | 0.064200 | 0.245133 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
| AcceptedCmp5 | 5000.0 | 0.011400 | 0.106171 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
| Complain | 5000.0 | 0.012400 | 0.110674 | 0.0 | 0.0 | 0.0 | 0.00 | 1.00 |
From the above table, the following conclusions are drawn:
count- The income variable has 4948 valid values. We have a problem of missing values in here. Moreover, some customers did not bought anything from 'Housekeeping' label products, or/and 'Wellness_&_Beauty'.mean- In average, my customers have an income of 69614, and Groceries is in average the category where costumers spend more money.std- The standard deviation of Income is quite high, which indicates that the values are spread out over a wider range.max- Both the maximum number of visits per month and number of web purchases are quite high, which might be an outlier or error.#Including only string columns in a DataFrame description
df.describe(include=[object]).T
| count | unique | top | freq | |
|---|---|---|---|---|
| Name | 4999 | 4999 | Mr. Christopher Short | 1 |
| Education | 5000 | 11 | PhD | 2662 |
| Marital_Status | 5000 | 5 | Married | 2108 |
| Region | 5000 | 3 | Kinsale | 1695 |
| Country | 5000 | 3 | Ireland | 4994 |
| Dt_Customer | 5000 | 700 | 6/24/2018 | 18 |
From the table above the following can be concluded:
Name - There is a client that chose to remain anonymous, or failled to insert his/her NameEducation - The 11 unique entries must be reviewed as this name appears to be too high.kt = df.skew()
kt
Year_Birth -0.104376 Income 0.074944 Kidhome 0.653025 Teenhome 0.429628 Recency -0.008955 MntGroceries 1.163000 MntStationery 2.073507 MntHouseKeeping 1.662145 MntWellness_&_Beauty 2.081755 MntElectronics_&_Supplies 2.392493 MntLimitedEdition 2.313686 NumDealsPurchases 1.881128 NumWebPurchases 22.185112 NumCatalogPurchases 1.083225 NumStorePurchases 0.665959 NumWebVisitsMonth 14.689330 AcceptedCmp1 3.092209 AcceptedCmp2 3.414368 AcceptedCmp3 3.153379 AcceptedCmp4 3.557038 AcceptedCmp5 9.207698 Complain 8.815006 dtype: float64
#Function that list collumns with a kurt value higher then 3
kt = df.kurt()
kt
Year_Birth -0.830261 Income -0.556396 Kidhome -0.752638 Teenhome -0.913354 Recency -1.201001 MntGroceries 0.570844 MntStationery 3.976999 MntHouseKeeping 2.004285 MntWellness_&_Beauty 4.042067 MntElectronics_&_Supplies 6.106466 MntLimitedEdition 6.498925 NumDealsPurchases 4.731187 NumWebPurchases 796.641075 NumCatalogPurchases 0.543071 NumStorePurchases -0.652685 NumWebVisitsMonth 611.872912 AcceptedCmp1 7.564783 AcceptedCmp2 9.661771 AcceptedCmp3 7.946978 AcceptedCmp4 10.656782 AcceptedCmp5 82.814821 Complain 75.734630 dtype: float64
If the dummy variables are filtered from the above list, the following collumns might need a special attention , due to its high kurtosis value : 'MntStationery', 'MntWellness_&Beauty', 'MntElectronics&_Supplies', 'MntLimitedEdition', 'NumDealsPurchases', 'NumWebPurchases', 'NumWebVisitsMonth'
for index, val in kt.iteritems():
if val > 3 :
print(index)
MntStationery MntWellness_&_Beauty MntElectronics_&_Supplies MntLimitedEdition NumDealsPurchases NumWebPurchases NumWebVisitsMonth AcceptedCmp1 AcceptedCmp2 AcceptedCmp3 AcceptedCmp4 AcceptedCmp5 Complain
df_corr = df.corr(method = 'spearman')
figure = plt.figure(figsize=(16,10))
sns.heatmap(df_corr, annot=True, fmt = '.1g')
<matplotlib.axes._subplots.AxesSubplot at 0x20159219848>
fig, axes = plt.subplots(1,2, figsize = (15,6))
sns.histplot (ax = axes[0], data = df, x = 'MntStationery',kde=True,fill=False)
sns.histplot (ax = axes[1], data = df, x = 'MntWellness_&_Beauty',kde=True,fill=False)
mean_1 = round(df['MntStationery'].mean(),2)
mean_2 = round(df['MntWellness_&_Beauty'].mean(),2)
sdeviation_1 = round(df['MntStationery'].std(),2)
sdeviation_2 = round(df['MntWellness_&_Beauty'].std(),2)
median_1 = round(df['MntStationery'].median(),2)
median_2 = round(df['MntWellness_&_Beauty'].median(),2)
skew_1 = round(df['MntStationery'].skew(),2)
skew_2 = round(df['MntWellness_&_Beauty'].skew(),2)
string_1 = ' \u03BC = ' + str(mean_1) + "\n \u03C3 =" + str(sdeviation_1) + "\n median = " + str(median_1)
string_2 = ' \u03BC = ' + str(mean_2) + "\n \u03C3 =" + str(sdeviation_2) + "\n median = " + str(median_2)
props = dict(boxstyle='round', facecolor='white', alpha=0.5)
axes[0].text(0.6, 0.8, string_1, transform=axes[0].transAxes, fontsize=14,
verticalalignment='top' ,bbox=props)
axes[0].text(0.6, 0.6, "Skewness = " + str(skew_1), transform=axes[0].transAxes, fontsize=14,
color= 'blue')
axes[1].text(0.6, 0.8, string_2, transform=axes[1].transAxes, fontsize=14,
verticalalignment='top' ,bbox=props)
axes[1].text(0.6, 0.6, "Skewness = " + str(skew_2), transform=axes[1].transAxes, fontsize=14,
color= 'blue')
plt.show()
fig, axes = plt.subplots(1,2, figsize = (15,6))
sns.histplot (ax = axes[0], data = df, x = 'MntElectronics_&_Supplies',kde=True,fill=False)
sns.histplot (ax = axes[1], data = df, x = 'MntLimitedEdition',kde=True,fill=False)
mean_1 = round(df['MntElectronics_&_Supplies'].mean(),2)
mean_2 = round(df['MntLimitedEdition'].mean(),2)
sdeviation_1 = round(df['MntElectronics_&_Supplies'].std(),2)
sdeviation_2 = round(df['MntLimitedEdition'].std(),2)
median_1 = round(df['MntElectronics_&_Supplies'].median(),2)
median_2 = round(df['MntLimitedEdition'].median(),2)
skew_1 = round(df['MntElectronics_&_Supplies'].skew(),2)
skew_2 = round(df['MntLimitedEdition'].skew(),2)
string_1 = ' \u03BC = ' + str(mean_1) + "\n \u03C3 =" + str(sdeviation_1) + "\n median = " + str(median_1)
string_2 = ' \u03BC = ' + str(mean_2) + "\n \u03C3 =" + str(sdeviation_2) + "\n median = " + str(median_2)
props = dict(boxstyle='round', facecolor='white', alpha=0.5)
axes[0].text(0.6, 0.8, string_1, transform=axes[0].transAxes, fontsize=14,
verticalalignment='top' ,bbox=props)
axes[0].text(0.6, 0.6, "Skewness = " + str(skew_1), transform=axes[0].transAxes, fontsize=14,
color= 'blue')
axes[1].text(0.6, 0.8, string_2, transform=axes[1].transAxes, fontsize=14,
verticalalignment='top' ,bbox=props)
axes[1].text(0.6, 0.6, "Skewness = " + str(skew_2), transform=axes[1].transAxes, fontsize=14,
color= 'blue')
plt.show()
df_treated = df.copy()
fig, axes = plt.subplots(3,1, figsize = (15,10))
sns.boxplot(ax = axes[0], data = df_treated , x = 'NumDealsPurchases')
sns.boxplot(ax = axes[1], data = df_treated , x = 'NumWebPurchases')
sns.boxplot(ax = axes[2], data = df_treated , x = 'NumWebVisitsMonth')
<matplotlib.axes._subplots.AxesSubplot at 0x20154425c08>
df_treated = df_treated .drop(df_treated [df_treated ['NumWebVisitsMonth'] > 40].index)
df_treated = df_treated .drop(df_treated [df_treated ['NumWebPurchases'] > 50].index)
df_treated = df_treated .drop(df_treated [df_treated ['NumDealsPurchases'] > 6].index)
#Explore "Education" entries
df_treated ['Education'].value_counts()
PhD 2566 Graduation 1331 Master 818 2n Cycle 39 GRADUATION 22 PHD 14 MASTER 9 MATSER 4 graduation 3 phd 2 2N CYCLE 1 Name: Education, dtype: int64
df_treated ['Education'] = df_treated ['Education'].str.capitalize()
df_treated ['Education'].value_counts()
Phd 2582 Graduation 1356 Master 827 2n cycle 40 Matser 4 Name: Education, dtype: int64
df_treated ['Education'] = df_treated ['Education'].replace('Matser','Master')
df_treated ['Education'].value_counts()
Phd 2582 Graduation 1356 Master 831 2n cycle 40 Name: Education, dtype: int64
# Exploring 'Marital_Status' entries
df_treated ['Marital_Status'].value_counts()
Married 2029 Together 1208 Single 1020 Divorced 412 Widow 140 Name: Marital_Status, dtype: int64
df_treated ['Marital_Status'] = df_treated ['Marital_Status'].replace('Together','Married')
df_treated ['Marital_Status'].value_counts()
Married 3237 Single 1020 Divorced 412 Widow 140 Name: Marital_Status, dtype: int64
# Exploring 'Region' entries
df_treated ['Region'].value_counts()
Kinsale 1630 Killarney 1615 Cork 1564 Name: Region, dtype: int64
# Exploring 'Country' entries
df_treated ['Country'].value_counts()
Ireland 4805 UK 2 France 2 Name: Country, dtype: int64
# Exploring 'Kid_home' entries
df_treated ['Kidhome'].value_counts()
0 2855 1 1849 2 105 Name: Kidhome, dtype: int64
# Exploring 'Teenhome' entries
df_treated ['Teenhome'].value_counts()
0 2621 1 2076 2 107 -1 5 Name: Teenhome, dtype: int64
#See entries with teenhome = -1
df_treated .loc[df_treated ['Teenhome'] == -1]
| Name | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Country | Dt_Customer | ... | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Complain | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003214 | Mr. Jack Wilkins | 1991 | Graduation | Married | 104547.0 | 0 | -1 | Cork | Ireland | 4/18/2018 | ... | 12 | 12 | 10 | 3 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10003351 | Mrs. Zoe Gray | 1976 | Phd | Married | 109238.0 | 1 | -1 | Kinsale | Ireland | 9/30/2017 | ... | 10 | 6 | 10 | 6 | 1 | 0 | 1 | 0 | 0 | 0 |
| 10003500 | Mr. Connor Taylor | 1983 | Graduation | Married | 31286.0 | 1 | -1 | Killarney | Ireland | 8/15/2017 | ... | 9 | 3 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003712 | Mr. Austin Bell | 1967 | Phd | Single | 82877.0 | 0 | -1 | Cork | Ireland | 11/16/2017 | ... | 10 | 5 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003808 | Mr. Jacob Mackay | 1966 | Phd | Married | 83838.0 | 0 | -1 | Cork | Ireland | 10/11/2017 | ... | 12 | 7 | 10 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
5 rows × 28 columns
df_treated ['Teenhome'] = df_treated ['Teenhome'].replace(-1,df_treated ['Teenhome'].value_counts().idxmax())
df_treated ['Teenhome'].value_counts()
0 2626 1 2076 2 107 Name: Teenhome, dtype: int64
# Exploring 'Country' entries
df_treated ['Country'].value_counts()
Ireland 4805 UK 2 France 2 Name: Country, dtype: int64
dropped = (np.shape(df)[0] - np.shape(df_treated)[0])/np.shape(df)[0] *100
print("Total dropped rows:", str(dropped),"%")
Total dropped rows: 3.82 %
df_treated .isna().sum()
Name 1 Year_Birth 0 Education 0 Marital_Status 0 Income 51 Kidhome 0 Teenhome 0 Region 0 Country 0 Dt_Customer 0 Recency 0 MntGroceries 0 MntStationery 0 MntHouseKeeping 87 MntWellness_&_Beauty 63 MntElectronics_&_Supplies 0 MntLimitedEdition 0 NumDealsPurchases 0 NumWebPurchases 0 NumCatalogPurchases 0 NumStorePurchases 0 NumWebVisitsMonth 0 AcceptedCmp1 0 AcceptedCmp2 0 AcceptedCmp3 0 AcceptedCmp4 0 AcceptedCmp5 0 Complain 0 dtype: int64
df_treated .loc[df_treated ['MntHouseKeeping'] == 0]
| Name | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Country | Dt_Customer | ... | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Complain | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10005718 | Mrs. Sophie Black | 1961 | Graduation | Single | 15264.0 | 0 | 0 | Cork | Ireland | 12/16/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007820 | Mr. William Reid | 1962 | Master | Widow | 21757.0 | 1 | 1 | Cork | Ireland | 5/25/2019 | ... | 6 | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
2 rows × 28 columns
df_treated .loc[df_treated ['MntWellness_&_Beauty'] == 0]
| Name | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Country | Dt_Customer | ... | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Complain | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003101 | Miss Karen Short | 1956 | Phd | Married | 59583.00 | 1 | 1 | Cork | Ireland | 2/17/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003105 | Mrs. Jane Bower | 1978 | Phd | Married | 30957.00 | 1 | 0 | Killarney | Ireland | 9/15/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003106 | Mr. Brian Walker | 1970 | Master | Married | 52474.00 | 2 | 1 | Kinsale | Ireland | 3/20/2019 | ... | 7 | 2 | 2 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003116 | Mr. Dan Randall | 1970 | Master | Married | 49108.00 | 1 | 1 | Kinsale | Ireland | 7/13/2018 | ... | 7 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003125 | Mr. Evan Knox | 1958 | Phd | Married | 36908.00 | 0 | 1 | Killarney | Ireland | 5/4/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003130 | Mr. Adrian Hill | 1996 | Graduation | Single | 25634.00 | 1 | 0 | Kinsale | Ireland | 4/17/2018 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003159 | Mr. Jack Mathis | 1977 | Master | Single | 50847.00 | 1 | 0 | Killarney | Ireland | 4/23/2018 | ... | 9 | 3 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003168 | Miss Dorothy Russell | 1970 | Phd | Married | 90240.00 | 0 | 1 | Cork | Ireland | 6/12/2018 | ... | 13 | 5 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003169 | Mr. Owen Jackson | 1991 | Phd | Single | 35844.00 | 1 | 0 | Kinsale | Ireland | 1/8/2019 | ... | 7 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003171 | Miss Amy King | 1960 | Phd | Married | 55137.00 | 1 | 2 | Cork | Ireland | 5/4/2019 | ... | 8 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003174 | Mr. Simon Tucker | 1957 | Master | Married | 97204.00 | 0 | 0 | Killarney | Ireland | 10/30/2018 | ... | 13 | 7 | 8 | 4 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10003175 | Mr. Boris Rees | 1951 | Phd | Married | 47267.00 | 0 | 1 | Kinsale | Ireland | 3/2/2019 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003182 | Mr. Stephen Scott | 1968 | Phd | Divorced | 10000.00 | 0 | 0 | Killarney | Ireland | 11/25/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003188 | Mr. Jason MacLeod | 1976 | Master | Single | 56646.00 | 1 | 0 | Kinsale | Ireland | 5/12/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003191 | Miss Anna Fraser | 1964 | Master | Married | 66027.00 | 1 | 1 | Killarney | Ireland | 6/5/2018 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003211 | Mr. Tim Hart | 1957 | Graduation | Single | 100096.00 | 0 | 1 | Killarney | Ireland | 1/24/2018 | ... | 11 | 6 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003219 | Mr. Gavin Dyer | 1952 | Phd | Married | 65582.00 | 0 | 1 | Cork | Ireland | 1/21/2019 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003239 | Mr. Oliver Clarkson | 1987 | Phd | Married | 43284.00 | 1 | 0 | Kinsale | Ireland | 10/11/2018 | ... | 8 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003241 | Mr. Colin Hudson | 1978 | Phd | Married | 61649.00 | 1 | 1 | Kinsale | Ireland | 1/3/2018 | ... | 8 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003243 | Mr. Joseph Avery | 1976 | Phd | Single | 65043.00 | 1 | 1 | Cork | Ireland | 10/14/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003253 | Mr. Max Hart | 1972 | Phd | Married | 54582.00 | 0 | 1 | Killarney | Ireland | 4/20/2019 | ... | 11 | 4 | 4 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10003264 | Mr. Harry Lee | 1960 | Phd | Single | 80250.00 | 0 | 2 | Cork | Ireland | 8/19/2017 | ... | 8 | 4 | 9 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003270 | Mr. Paul Peters | 1975 | Phd | Married | 81488.00 | 1 | 0 | Kinsale | Ireland | 11/26/2017 | ... | 8 | 4 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003306 | Mr. Sean Oliver | 1965 | Phd | Married | 39912.00 | 1 | 1 | Killarney | Ireland | 1/13/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003310 | Mr. Warren Ross | 1979 | Phd | Married | 67136.00 | 0 | 1 | Killarney | Ireland | 8/14/2018 | ... | 13 | 3 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10003321 | Miss Theresa Carr | 1969 | Phd | Married | 69233.00 | 0 | 1 | Cork | Ireland | 1/23/2019 | ... | 9 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003329 | Mr. Robert Lawrence | 1972 | Phd | Married | 113663.00 | 2 | 1 | Kinsale | Ireland | 9/24/2018 | ... | 17 | 8 | 11 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003339 | Miss Natalie Smith | 1969 | Phd | Single | 61476.00 | 1 | 1 | Cork | Ireland | 5/27/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003345 | Mr. Christopher Ince | 1959 | Phd | Married | 41124.00 | 1 | 1 | Kinsale | Ireland | 5/27/2019 | ... | 7 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003357 | Mr. Cameron Rutherford | 1971 | Phd | Single | 80710.00 | 0 | 1 | Cork | Ireland | 6/25/2019 | ... | 11 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003371 | Mr. Christian McLean | 1969 | Phd | Single | 50933.00 | 1 | 1 | Kinsale | Ireland | 12/8/2017 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003375 | Mrs. Claire Vance | 1956 | Phd | Married | 41980.00 | 0 | 0 | Killarney | Ireland | 11/3/2017 | ... | 8 | 5 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003403 | Mr. Jason Johnston | 1968 | Phd | Married | 97804.00 | 0 | 0 | Cork | Ireland | 2/2/2019 | ... | 17 | 5 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003419 | Mr. Alexander Duncan | 1981 | Graduation | Single | 87806.00 | 0 | 1 | Kinsale | Ireland | 12/2/2017 | ... | 9 | 5 | 4 | 7 | 0 | 1 | 1 | 0 | 1 | 0 |
| 10003431 | Miss Amanda Fraser | 1968 | Phd | Married | 56250.00 | 0 | 1 | Killarney | Ireland | 3/13/2019 | ... | 7 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003450 | Miss Dorothy Hodges | 1976 | Graduation | Single | 59518.00 | 1 | 0 | Killarney | Ireland | 6/14/2019 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003453 | Mrs. Ella Robertson | 1981 | Phd | Married | 42569.00 | 1 | 0 | Cork | Ireland | 1/9/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003478 | Mr. Leonard Paige | 1970 | Phd | Married | 82915.00 | 0 | 2 | Kinsale | Ireland | 3/23/2019 | ... | 12 | 4 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003495 | Mr. Joe Morrison | 1970 | Phd | Single | 72464.00 | 1 | 2 | Killarney | Ireland | 6/9/2019 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003503 | Mr. Luke Gray | 1971 | Phd | Married | 80227.00 | 0 | 1 | Killarney | Ireland | 12/11/2018 | ... | 17 | 6 | 6 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10003507 | Mrs. Lily Henderson | 1988 | Phd | Married | 110837.00 | 0 | 0 | Kinsale | Ireland | 8/19/2017 | ... | 12 | 13 | 8 | 8 | 0 | 1 | 1 | 1 | 1 | 0 |
| 10003529 | Mrs. Kylie Piper | 1957 | Master | Married | 88081.00 | 0 | 1 | Killarney | Ireland | 12/19/2018 | ... | 11 | 11 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003547 | Miss Amy Wallace | 1954 | Phd | Married | 70471.00 | 1 | 1 | Cork | Ireland | 3/25/2019 | ... | 8 | 3 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003555 | Mr. Christopher Nolan | 1974 | Phd | Married | 47816.00 | 1 | 0 | Kinsale | Ireland | 10/30/2018 | ... | 9 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003559 | Mr. Christian Knox | 1993 | Master | Single | 19842.00 | 1 | 0 | Kinsale | Ireland | 6/7/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003579 | Mr. Dan Graham | 1965 | Phd | Married | 58873.00 | 1 | 1 | Killarney | Ireland | 1/20/2019 | ... | 7 | 3 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003580 | Mr. Ryan Grant | 1965 | Master | Married | 82436.00 | 0 | 1 | Kinsale | Ireland | 3/17/2019 | ... | 9 | 6 | 8 | 3 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003590 | Mr. Nathan Kerr | 1975 | Phd | Married | 64549.00 | 1 | 2 | Killarney | Ireland | 3/27/2019 | ... | 6 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003604 | Mr. Dylan Watson | 1953 | Phd | Married | 50795.00 | 1 | 1 | Cork | Ireland | 10/16/2017 | ... | 9 | 4 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003628 | Mr. Brian Hodges | 1978 | Master | Married | 64090.00 | 1 | 1 | Cork | Ireland | 10/10/2018 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003631 | Mr. Gordon Davidson | 1979 | Phd | Married | 44729.00 | 1 | 1 | Killarney | Ireland | 1/17/2018 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003634 | Mrs. Theresa Lambert | 1982 | Phd | Single | 80917.00 | 0 | 2 | Kinsale | Ireland | 4/7/2018 | ... | 13 | 9 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003640 | Mr. Liam Tucker | 1962 | Master | Single | 50659.00 | 1 | 1 | Cork | Ireland | 8/26/2018 | ... | 7 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003658 | Miss Vanessa Hughes | 1955 | Phd | Married | 134689.00 | 0 | 0 | Cork | Ireland | 9/21/2018 | ... | 10 | 10 | 5 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| 10003661 | Mrs. Diane Gibson | 1978 | Master | Married | 59066.00 | 1 | 1 | Killarney | Ireland | 6/24/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003667 | Mr. Sean Walsh | 1977 | Phd | Married | 33795.00 | 1 | 1 | Kinsale | Ireland | 1/14/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003674 | Mr. Max Ogden | 1978 | Phd | Married | 159607.05 | 1 | 1 | Killarney | Ireland | 12/25/2018 | ... | 28 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003718 | Mr. Piers Vance | 1991 | Phd | Married | 47569.00 | 1 | 0 | Killarney | Ireland | 11/11/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003722 | Mr. Andrew Rees | 1975 | Phd | Married | 53792.00 | 0 | 1 | Killarney | Ireland | 10/14/2018 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003726 | Mr. Nathan Payne | 1976 | Master | Married | 26717.00 | 1 | 0 | Killarney | Ireland | 2/1/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003732 | Mr. Sam Oliver | 1964 | Phd | Married | 151364.85 | 1 | 1 | Cork | Ireland | 2/26/2018 | ... | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003782 | Mr. Luke Ferguson | 1977 | Phd | Single | 57480.00 | 1 | 0 | Cork | Ireland | 5/25/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003794 | Miss Karen North | 1990 | Master | Married | 20095.00 | 1 | 0 | Kinsale | Ireland | 5/11/2018 | ... | 9 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003796 | Mr. Owen Smith | 1967 | Phd | Married | 58792.00 | 1 | 1 | Cork | Ireland | 12/1/2018 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003797 | Mr. Gavin Greene | 1986 | Phd | Single | 38196.00 | 1 | 0 | Cork | Ireland | 8/22/2018 | ... | 8 | 4 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10003802 | Mr. James Allan | 1977 | Phd | Single | 68517.00 | 1 | 1 | Kinsale | Ireland | 8/10/2018 | ... | 13 | 3 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003807 | Mr. Victor Oliver | 1955 | Phd | Widow | 77289.00 | 0 | 1 | Kinsale | Ireland | 5/12/2019 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003829 | Mr. Jake Reid | 1953 | Phd | Married | 65706.00 | 0 | 1 | Killarney | Ireland | 9/15/2018 | ... | 9 | 4 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003838 | Mrs. Gabrielle Powell | 1966 | Phd | Married | 63067.00 | 0 | 1 | Cork | Ireland | 8/7/2018 | ... | 10 | 3 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003844 | Mr. Benjamin Newman | 1959 | Phd | Married | 67547.00 | 0 | 1 | Cork | Ireland | 1/28/2019 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003845 | Mr. Keith Welch | 1958 | Graduation | Married | 47221.00 | 1 | 2 | Cork | Ireland | 3/4/2018 | ... | 8 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003858 | Mr. Adrian McGrath | 1986 | Graduation | Married | 37988.00 | 1 | 0 | Cork | Ireland | 3/19/2019 | ... | 8 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003867 | Mr. Gavin Wright | 1971 | Phd | Married | 69058.00 | 0 | 1 | Kinsale | Ireland | 11/21/2017 | ... | 12 | 4 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003875 | Mr. Stephen Hudson | 1983 | Master | Single | 59669.00 | 0 | 1 | Killarney | Ireland | 12/2/2018 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003886 | Mrs. Elizabeth Sharp | 1971 | Graduation | Single | 38013.00 | 1 | 1 | Kinsale | Ireland | 4/14/2018 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003887 | Mr. Isaac Newman | 1978 | Phd | Married | 45639.00 | 1 | 1 | Kinsale | Ireland | 12/27/2017 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003897 | Miss Grace Lambert | 1976 | Graduation | Single | NaN | 1 | 0 | Killarney | Ireland | 5/7/2019 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003928 | Mr. Steven McDonald | 1973 | Phd | Single | 91928.00 | 1 | 0 | Kinsale | Ireland | 11/13/2018 | ... | 14 | 6 | 6 | 4 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10003959 | Mr. Nicholas North | 1965 | Phd | Married | 98748.00 | 0 | 1 | Kinsale | Ireland | 2/22/2018 | ... | 17 | 6 | 7 | 6 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10003979 | Mr. Owen Allan | 1977 | Phd | Married | 74022.00 | 2 | 1 | Kinsale | Ireland | 9/28/2017 | ... | 17 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004001 | Mr. Max Reid | 1976 | Phd | Married | 53655.00 | 1 | 0 | Kinsale | Ireland | 3/10/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004008 | Mr. Christian White | 1973 | Phd | Married | 44679.00 | 1 | 0 | Kinsale | Ireland | 2/28/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004023 | Miss Megan Forsyth | 1960 | Graduation | Married | 88386.00 | 0 | 1 | Cork | Ireland | 5/14/2019 | ... | 16 | 4 | 8 | 5 | 0 | 1 | 0 | 0 | 1 | 0 |
| 10004053 | Miss Chloe Mitchell | 1974 | Phd | Single | 7151.90 | 1 | 1 | Kinsale | Ireland | 5/28/2019 | ... | 1 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10004067 | Mr. Joe Graham | 1965 | Phd | Single | 62790.00 | 1 | 1 | Kinsale | Ireland | 3/13/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004076 | Mrs. Virginia Hardacre | 1956 | Phd | Married | 77811.00 | 0 | 1 | Cork | France | 7/4/2018 | ... | 17 | 9 | 4 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004082 | Mr. Piers Powell | 1983 | Phd | Married | 66241.00 | 0 | 1 | Cork | Ireland | 11/5/2018 | ... | 13 | 3 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004095 | Mr. Dominic Rees | 1978 | Graduation | Single | 20492.00 | 1 | 0 | Killarney | Ireland | 3/1/2019 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004112 | Mr. Nicholas Gill | 1973 | Phd | Married | 30763.00 | 2 | 0 | Killarney | Ireland | 1/17/2018 | ... | 8 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004115 | Mr. Jacob Robertson | 1977 | Phd | Married | 44410.00 | 1 | 0 | Killarney | Ireland | 1/13/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004119 | Miss Leah Watson | 1972 | Phd | Married | 36513.00 | 1 | 0 | Killarney | Ireland | 1/24/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004120 | Mr. Brandon Burgess | 1970 | Phd | Married | 38026.00 | 2 | 1 | Cork | Ireland | 6/15/2018 | ... | 7 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004132 | Mrs. Joan McDonald | 1973 | Phd | Married | 42897.00 | 0 | 1 | Killarney | Ireland | 8/2/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004150 | Mr. Alexander Kelly | 1974 | Phd | Married | 37185.00 | 1 | 0 | Cork | Ireland | 7/6/2018 | ... | 7 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004176 | Mr. Anthony Bower | 1967 | Phd | Married | 60468.00 | 1 | 1 | Kinsale | Ireland | 9/7/2018 | ... | 8 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004199 | Mr. Colin Black | 1981 | Phd | Married | 60247.00 | 0 | 2 | Kinsale | Ireland | 8/6/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004214 | Miss Abigail Jones | 1974 | Phd | Married | 62599.00 | 0 | 1 | Killarney | Ireland | 4/10/2019 | ... | 7 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004226 | Mr. Frank Rampling | 1993 | Graduation | Married | 49299.00 | 1 | 0 | Killarney | Ireland | 12/29/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004254 | Mrs. Joan Wilkins | 1983 | Phd | Divorced | 37920.00 | 1 | 0 | Cork | Ireland | 7/8/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004263 | Mr. Jason Ogden | 1959 | Master | Widow | 55873.00 | 1 | 1 | Cork | Ireland | 9/28/2017 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004267 | Miss Lisa Martin | 1990 | Graduation | Married | 47003.00 | 1 | 0 | Killarney | Ireland | 1/10/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004281 | Mrs. Deirdre Peake | 1968 | Phd | Single | 49839.00 | 0 | 1 | Killarney | Ireland | 8/11/2017 | ... | 12 | 4 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004285 | Mr. Dylan Churchill | 1975 | Phd | Single | 56537.00 | 1 | 0 | Kinsale | Ireland | 12/12/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004297 | Mr. Paul Rutherford | 1969 | Phd | Married | 58030.00 | 1 | 1 | Killarney | Ireland | 4/13/2018 | ... | 10 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004298 | Mr. Julian Clark | 1974 | Phd | Married | 81563.00 | 0 | 1 | Killarney | Ireland | 11/4/2018 | ... | 11 | 4 | 8 | 8 | 1 | 0 | 0 | 0 | 0 | 1 |
| 10004328 | Mr. Michael Taylor | 1979 | Master | Married | 30589.00 | 1 | 0 | Cork | Ireland | 9/8/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004341 | Mr. Nathan MacLeod | 1992 | Phd | Single | 81286.00 | 0 | 0 | Cork | Ireland | 3/1/2019 | ... | 16 | 4 | 11 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004361 | Mr. Gordon Morrison | 1991 | Master | Married | 30617.00 | 1 | 0 | Cork | Ireland | 8/20/2017 | ... | 7 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004368 | Mr. Christopher MacLeod | 1986 | Phd | Married | 34382.00 | 1 | 0 | Cork | Ireland | 4/14/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004422 | Mr. Joseph Bower | 1986 | Phd | Married | 23906.00 | 1 | 0 | Kinsale | Ireland | 3/29/2019 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004430 | Mrs. Penelope Ince | 1978 | Phd | Married | 52506.00 | 1 | 1 | Cork | Ireland | 4/9/2018 | ... | 6 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004434 | Mrs. Amy Hill | 1955 | Phd | Single | 60351.00 | 0 | 1 | Kinsale | Ireland | 6/24/2018 | ... | 10 | 3 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004450 | Mr. Trevor Quinn | 1990 | Phd | Married | 45548.00 | 1 | 0 | Kinsale | Ireland | 10/31/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004468 | Mr. Joseph Hemmings | 1989 | Phd | Married | NaN | 1 | 0 | Killarney | Ireland | 5/25/2018 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004469 | Mr. Evan Arnold | 1983 | Phd | Married | 67713.00 | 1 | 1 | Cork | Ireland | 9/11/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004484 | Mr. Carl Brown | 1978 | Graduation | Single | 49798.00 | 0 | 0 | Kinsale | Ireland | 2/19/2018 | ... | 6 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004503 | Miss Michelle Hardacre | 1977 | Phd | Married | 58325.00 | 1 | 1 | Cork | Ireland | 6/10/2018 | ... | 11 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004526 | Miss Heather Abraham | 1953 | Phd | Married | 47120.00 | 1 | 1 | Kinsale | Ireland | 6/30/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004554 | Mrs. Caroline Lambert | 1976 | Phd | Single | 32851.00 | 1 | 1 | Killarney | Ireland | 1/29/2019 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004587 | Miss Diana Hart | 1979 | Phd | Married | 45910.00 | 1 | 0 | Cork | Ireland | 6/29/2019 | ... | 8 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004593 | Mr. William Turner | 1981 | Phd | Married | 78627.00 | 0 | 1 | Kinsale | Ireland | 2/13/2019 | ... | 14 | 5 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004595 | Mr. Christopher Lee | 1997 | Graduation | Single | 10886.00 | 1 | 0 | Killarney | Ireland | 3/20/2018 | ... | 7 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004601 | Miss Jane Ferguson | 1985 | Graduation | Married | 77635.00 | 0 | 1 | Killarney | Ireland | 8/15/2017 | ... | 12 | 4 | 12 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004602 | Mr. Warren Ferguson | 1976 | Phd | Married | 41971.00 | 0 | 1 | Cork | Ireland | 12/15/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004610 | Mr. Lucas Jackson | 1992 | Graduation | Married | 24064.00 | 1 | 0 | Killarney | Ireland | 4/4/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004612 | Mr. Anthony Anderson | 1973 | Graduation | Married | 78280.00 | 0 | 1 | Kinsale | Ireland | 4/1/2018 | ... | 17 | 7 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004625 | Miss Andrea Murray | 1972 | Phd | Married | 42167.00 | 1 | 0 | Cork | Ireland | 5/21/2018 | ... | 9 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004628 | Mr. Joe Lawrence | 1984 | Graduation | Married | 58610.00 | 0 | 1 | Kinsale | Ireland | 2/19/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004645 | Mr. Isaac Sharp | 1980 | Phd | Divorced | 44677.00 | 1 | 1 | Kinsale | Ireland | 8/14/2018 | ... | 9 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004662 | Mr. Boris Forsyth | 1958 | Phd | Married | 79855.00 | 0 | 1 | Killarney | Ireland | 11/3/2018 | ... | 8 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004668 | Mrs. Carolyn White | 1977 | Phd | Married | 65992.00 | 1 | 0 | Cork | Ireland | 4/26/2018 | ... | 12 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004680 | Mr. Dylan Paterson | 1960 | Master | Married | 70872.00 | 0 | 1 | Cork | Ireland | 6/10/2019 | ... | 9 | 3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004712 | Mr. Piers Blake | 1958 | Graduation | Widow | 49658.00 | 1 | 1 | Cork | Ireland | 4/28/2018 | ... | 7 | 3 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004724 | Mrs. Heather Underwood | 1987 | Phd | Married | 29320.00 | 1 | 0 | Cork | Ireland | 4/8/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004733 | Mr. Christopher Knox | 1966 | Phd | Divorced | 52936.00 | 0 | 1 | Killarney | Ireland | 8/14/2018 | ... | 10 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004753 | Mrs. Jane Johnston | 1974 | Phd | Married | 58453.00 | 0 | 1 | Killarney | Ireland | 6/19/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004774 | Mr. Oliver Forsyth | 1966 | Phd | Single | 87253.00 | 0 | 1 | Killarney | Ireland | 9/4/2018 | ... | 8 | 10 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004779 | Mr. Max McGrath | 1958 | Master | Single | 59581.00 | 0 | 1 | Kinsale | Ireland | 9/9/2018 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004799 | Mr. Steven Johnston | 1976 | Phd | Single | 28289.00 | 1 | 0 | Kinsale | Ireland | 1/8/2018 | ... | 10 | 4 | 2 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004802 | Mr. Jason Dickens | 1961 | Phd | Married | 90048.00 | 0 | 1 | Cork | Ireland | 12/15/2018 | ... | 13 | 5 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004812 | Mr. John Sharp | 1975 | Phd | Married | 65855.00 | 1 | 0 | Kinsale | Ireland | 11/23/2018 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004819 | Miss Julia James | 1953 | Phd | Married | 69556.00 | 0 | 1 | Kinsale | Ireland | 10/19/2017 | ... | 13 | 5 | 5 | 8 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10004834 | Mrs. Molly Bond | 1989 | Graduation | Single | 20688.00 | 1 | 0 | Cork | Ireland | 10/26/2017 | ... | 7 | 2 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004873 | Mr. Thomas Simpson | 1964 | Master | Single | 57377.00 | 1 | 1 | Cork | Ireland | 10/3/2018 | ... | 7 | 4 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10004887 | Mr. John Coleman | 1975 | Phd | Married | 58655.00 | 1 | 0 | Killarney | Ireland | 8/22/2018 | ... | 9 | 3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004902 | Mrs. Anne Harris | 1972 | Phd | Married | 49882.00 | 1 | 0 | Kinsale | Ireland | 12/6/2017 | ... | 6 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004913 | Miss Molly Allan | 1957 | Phd | Single | 58665.00 | 1 | 1 | Kinsale | Ireland | 12/14/2018 | ... | 10 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004925 | Mr. Harry Piper | 1969 | Phd | Married | 82661.00 | 0 | 1 | Killarney | Ireland | 2/1/2018 | ... | 12 | 6 | 8 | 5 | 0 | 1 | 0 | 1 | 1 | 0 |
| 10004944 | Mr. Benjamin Davies | 1967 | Phd | Married | 36317.00 | 1 | 1 | Killarney | Ireland | 4/21/2018 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004948 | Mr. Steven Peake | 1974 | Phd | Married | 33028.00 | 1 | 0 | Kinsale | Ireland | 3/25/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004954 | Mr. Victor Hill | 1985 | Master | Single | 51697.00 | 1 | 0 | Killarney | Ireland | 2/13/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004955 | Mr. Sebastian Metcalfe | 1969 | Phd | Married | 72335.00 | 2 | 1 | Cork | Ireland | 8/14/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004965 | Mrs. Joanne Randall | 1987 | Phd | Married | 46367.00 | 1 | 0 | Cork | Ireland | 11/13/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004979 | Miss Chloe Dowd | 1974 | Phd | Married | 40635.00 | 1 | 0 | Cork | Ireland | 1/23/2019 | ... | 7 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10004996 | Mr. Gordon Edmunds | 1988 | Phd | Married | 44615.00 | 1 | 0 | Cork | Ireland | 8/8/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005012 | Mr. Joshua Mackenzie | 1965 | Phd | Divorced | 69167.00 | 0 | 1 | Cork | Ireland | 2/25/2018 | ... | 14 | 4 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005025 | Mr. Liam Morrison | 1973 | Phd | Married | 78282.00 | 0 | 1 | Cork | Ireland | 5/12/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005037 | Mr. Dominic Parsons | 1968 | Phd | Married | 62342.00 | 0 | 1 | Kinsale | Ireland | 11/17/2017 | ... | 10 | 6 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005042 | Miss Alexandra Mackenzie | 1975 | Phd | Married | 63588.00 | 0 | 1 | Killarney | Ireland | 7/6/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005065 | Mrs. Heather Welch | 1977 | Graduation | Married | 62900.00 | 0 | 1 | Killarney | Ireland | 5/22/2019 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005083 | Mr. Lucas Alsop | 1972 | Phd | Married | 46636.00 | 1 | 0 | Kinsale | Ireland | 10/29/2017 | ... | 7 | 3 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005113 | Mrs. Rose Graham | 1985 | Phd | Married | 28470.00 | 1 | 0 | Killarney | Ireland | 1/1/2018 | ... | 8 | 2 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005118 | Miss Sally Metcalfe | 1976 | Phd | Married | 40108.00 | 0 | 1 | Cork | Ireland | 2/22/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005122 | Mr. Jacob Thomson | 1983 | Phd | Married | 117462.00 | 1 | 0 | Cork | Ireland | 8/19/2017 | ... | 12 | 7 | 8 | 9 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10005129 | Mr. Dan Hunter | 1960 | Phd | Divorced | 72972.00 | 0 | 1 | Cork | Ireland | 12/11/2017 | ... | 13 | 7 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005166 | Mrs. Audrey Walsh | 1975 | Phd | Married | 67976.00 | 0 | 0 | Kinsale | Ireland | 2/28/2019 | ... | 7 | 2 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005175 | Mr. Ryan Randall | 1982 | Phd | Married | 34006.00 | 1 | 0 | Killarney | Ireland | 7/24/2018 | ... | 7 | 2 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005182 | Miss Jessica Gray | 1974 | Graduation | Married | 60388.00 | 0 | 1 | Kinsale | Ireland | 6/8/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005183 | Mrs. Emily Lyman | 1968 | Phd | Single | 59409.00 | 1 | 1 | Kinsale | Ireland | 1/1/2018 | ... | 8 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005184 | Mr. Dylan MacDonald | 1974 | Graduation | Married | 46625.00 | 1 | 1 | Killarney | Ireland | 4/5/2018 | ... | 7 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005208 | Mr. Leonard King | 1986 | Phd | Single | 40613.00 | 1 | 0 | Killarney | Ireland | 1/16/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005229 | Mr. Liam Abraham | 1968 | Graduation | Married | 21900.00 | 1 | 1 | Cork | Ireland | 6/9/2018 | ... | 7 | 2 | 2 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005239 | Mr. Robert Metcalfe | 1977 | Phd | Divorced | 45621.00 | 1 | 0 | Killarney | Ireland | 4/16/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005241 | Miss Claire McDonald | 1976 | Phd | Married | 38662.00 | 1 | 0 | Cork | Ireland | 11/1/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005253 | Mr. Stewart Hardacre | 1978 | Graduation | Married | 52171.00 | 1 | 1 | Killarney | Ireland | 5/21/2019 | ... | 7 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005254 | Mrs. Caroline James | 1992 | Graduation | Married | 36028.00 | 1 | 0 | Cork | Ireland | 9/26/2018 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005260 | Mrs. Audrey Glover | 1990 | Phd | Single | 44244.00 | 1 | 0 | Cork | Ireland | 4/7/2019 | ... | 9 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005267 | Miss Madeleine Paterson | 1949 | Phd | Widow | 79980.00 | 0 | 0 | Cork | Ireland | 4/2/2019 | ... | 11 | 3 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005268 | Mr. Julian Brown | 1957 | Phd | Single | 41049.00 | 0 | 1 | Kinsale | Ireland | 11/3/2017 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005269 | Mr. David Thomson | 1959 | Phd | Widow | NaN | 1 | 1 | Cork | Ireland | 3/24/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005275 | Mr. Anthony Jones | 1956 | Graduation | Married | 85330.00 | 0 | 0 | Killarney | Ireland | 12/21/2018 | ... | 13 | 8 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005278 | Mr. Stewart Jones | 1967 | Graduation | Married | 87513.00 | 0 | 0 | Killarney | Ireland | 2/24/2019 | ... | 8 | 8 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005279 | Mr. Stephen Jones | 1984 | Phd | Married | 24507.00 | 1 | 0 | Cork | Ireland | 6/10/2018 | ... | 8 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10005287 | Mr. Oliver Walsh | 1960 | Phd | Divorced | 75599.00 | 0 | 1 | Cork | Ireland | 1/18/2019 | ... | 13 | 3 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10005314 | Mrs. Jane Pullman | 1966 | Phd | Married | 145834.35 | 0 | 1 | Kinsale | Ireland | 10/9/2017 | ... | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005324 | Mr. Thomas Bailey | 1961 | Master | Married | 59380.00 | 1 | 1 | Killarney | Ireland | 8/15/2018 | ... | 8 | 3 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005351 | Mr. Edward Pullman | 1977 | Phd | Married | 63827.00 | 1 | 1 | Kinsale | Ireland | 4/12/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005361 | Mr. William Blake | 1966 | Phd | Divorced | 54717.00 | 0 | 2 | Kinsale | Ireland | 10/22/2018 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005363 | Miss Faith Allan | 1983 | Graduation | Single | 26152.00 | 1 | 0 | Kinsale | Ireland | 12/22/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005370 | Mr. Charles Sutherland | 1961 | Graduation | Married | 54256.00 | 1 | 1 | Kinsale | Ireland | 9/4/2018 | ... | 9 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005415 | Mr. Eric Ferguson | 1954 | Phd | Married | 73912.00 | 1 | 1 | Cork | Ireland | 4/17/2019 | ... | 12 | 4 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005422 | Miss Madeleine Fisher | 1959 | Phd | Single | 41078.00 | 1 | 1 | Cork | Ireland | 11/23/2017 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005431 | Mr. Adrian Walker | 1953 | Phd | Married | 37522.00 | 1 | 1 | Kinsale | Ireland | 9/8/2017 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005437 | Mr. Steven Fraser | 1980 | Phd | Married | 72090.00 | 0 | 1 | Killarney | Ireland | 3/17/2019 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005464 | Mr. Christian Stewart | 1987 | Graduation | Married | 63845.00 | 1 | 0 | Kinsale | Ireland | 5/1/2018 | ... | 17 | 8 | 3 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005471 | Mr. Leonard Russell | 1980 | Phd | Married | 39745.00 | 1 | 0 | Kinsale | Ireland | 6/22/2019 | ... | 8 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005486 | Mr. Alexander Chapman | 1985 | Graduation | Married | 33506.00 | 1 | 0 | Killarney | Ireland | 10/3/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005487 | Mr. Piers Parr | 1980 | Phd | Single | 69430.00 | 1 | 1 | Cork | Ireland | 1/25/2018 | ... | 10 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005502 | Miss Michelle Coleman | 1969 | Graduation | Married | 57825.00 | 0 | 1 | Kinsale | Ireland | 2/9/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005510 | Mrs. Pippa King | 1976 | Phd | Single | 93993.00 | 0 | 1 | Killarney | Ireland | 11/29/2017 | ... | 10 | 5 | 10 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005531 | Mr. James Alsop | 1960 | Phd | Married | 70664.00 | 0 | 1 | Killarney | Ireland | 8/21/2017 | ... | 13 | 5 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005545 | Mr. Simon Lewis | 1969 | Phd | Married | 70785.00 | 1 | 1 | Kinsale | Ireland | 2/13/2018 | ... | 12 | 4 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005565 | Mr. Liam Henderson | 1969 | Phd | Married | 79458.00 | 0 | 1 | Killarney | Ireland | 10/21/2017 | ... | 14 | 3 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10005576 | Mrs. Mary Sutherland | 1966 | Phd | Married | 64761.00 | 1 | 1 | Kinsale | Ireland | 2/4/2019 | ... | 8 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005577 | Mr. Victor Johnston | 1976 | Phd | Divorced | 30072.00 | 1 | 1 | Cork | Ireland | 11/4/2017 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005587 | Mrs. Sophie Turner | 1982 | Master | Married | 41884.00 | 1 | 0 | Killarney | Ireland | 2/8/2019 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005597 | Mr. Owen Hemmings | 1980 | Master | Divorced | 40639.00 | 1 | 0 | Killarney | Ireland | 4/3/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005606 | Mr. David Mackenzie | 1980 | Phd | Married | 60194.00 | 1 | 1 | Kinsale | Ireland | 7/16/2018 | ... | 7 | 3 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005673 | Mr. Stephen Kerr | 1983 | Phd | Single | 41846.00 | 1 | 0 | Killarney | Ireland | 12/6/2017 | ... | 7 | 2 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005677 | Mr. Adrian McDonald | 1957 | Phd | Married | 48707.00 | 1 | 1 | Kinsale | Ireland | 6/30/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005683 | Mr. Owen Roberts | 1982 | Phd | Single | 65749.00 | 2 | 0 | Cork | Ireland | 10/21/2018 | ... | 8 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005699 | Miss Kimberly May | 1965 | Graduation | Single | 54727.00 | 1 | 1 | Kinsale | Ireland | 2/3/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005714 | Mr. Justin Bower | 1976 | Phd | Single | 48050.00 | 1 | 0 | Cork | Ireland | 6/1/2018 | ... | 9 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005726 | Mr. Paul Grant | 1984 | Phd | Married | 40975.00 | 1 | 0 | Killarney | Ireland | 1/6/2018 | ... | 10 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005731 | Mr. Adrian Payne | 1988 | Phd | Single | 42317.00 | 1 | 0 | Killarney | Ireland | 11/24/2018 | ... | 8 | 3 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005747 | Mr. Blake Churchill | 1979 | Phd | Married | 51628.00 | 1 | 1 | Cork | Ireland | 12/30/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005758 | Mr. Liam Murray | 1981 | Phd | Married | 74605.00 | 0 | 1 | Killarney | Ireland | 3/4/2019 | ... | 14 | 4 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005782 | Mr. Joshua Glover | 1959 | Phd | Married | 29530.00 | 0 | 0 | Cork | Ireland | 4/14/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005783 | Miss Rebecca Simpson | 1969 | Phd | Divorced | 79761.00 | 0 | 1 | Killarney | Ireland | 4/13/2018 | ... | 17 | 4 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005787 | Mr. Edward Hunter | 1964 | Master | Married | 82748.00 | 0 | 2 | Cork | Ireland | 9/1/2018 | ... | 16 | 6 | 7 | 6 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10005794 | Mrs. Emily Gill | 1992 | Phd | Married | 66239.00 | 0 | 0 | Killarney | Ireland | 3/5/2018 | ... | 12 | 8 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005835 | Miss Felicity Slater | 1975 | Phd | Single | 34452.00 | 1 | 0 | Cork | Ireland | 3/14/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005837 | Mr. Frank Slater | 1975 | Phd | Single | 36152.00 | 1 | 1 | Killarney | Ireland | 10/22/2018 | ... | 8 | 3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005857 | Mrs. Dorothy Reid | 1988 | Graduation | Married | NaN | 1 | 0 | Killarney | Ireland | 1/6/2019 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005858 | Mrs. Rachel Knox | 1972 | Phd | Married | 79357.00 | 0 | 1 | Cork | Ireland | 12/20/2018 | ... | 11 | 4 | 4 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10005860 | Mr. Alexander Gibson | 1960 | Phd | Single | 73564.00 | 1 | 1 | Kinsale | Ireland | 12/9/2018 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005864 | Mr. Jake Underwood | 1979 | Phd | Married | 57683.00 | 0 | 1 | Cork | Ireland | 11/22/2017 | ... | 11 | 4 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005899 | Mrs. Donna Underwood | 1993 | Master | Single | 43716.00 | 1 | 0 | Killarney | Ireland | 1/4/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005915 | Mr. Warren Bond | 1968 | Phd | Divorced | 96765.00 | 0 | 0 | Kinsale | Ireland | 1/2/2019 | ... | 8 | 6 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005921 | Miss Megan Welch | 1982 | Master | Married | 35262.00 | 1 | 0 | Killarney | Ireland | 12/31/2017 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005944 | Mr. Dominic Ellison | 1971 | Phd | Married | 56885.00 | 0 | 1 | Killarney | Ireland | 3/19/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005945 | Mr. Dylan Wright | 1983 | Phd | Divorced | 97650.00 | 0 | 0 | Cork | Ireland | 2/13/2019 | ... | 8 | 5 | 4 | 5 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10005947 | Mr. Harry James | 1989 | Phd | Single | 35776.00 | 2 | 0 | Cork | Ireland | 4/8/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10005972 | Mr. Jacob Metcalfe | 1964 | Phd | Married | 92146.00 | 0 | 1 | Kinsale | Ireland | 9/13/2017 | ... | 16 | 11 | 12 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006022 | Miss Ella Buckland | 1980 | Master | Divorced | 59585.00 | 1 | 1 | Cork | Ireland | 1/11/2019 | ... | 7 | 3 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10006037 | Mr. Dominic Edmunds | 1976 | Phd | Married | 44786.00 | 1 | 1 | Cork | Ireland | 11/4/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006043 | Miss Virginia Hodges | 1964 | Phd | Married | 70234.00 | 0 | 1 | Kinsale | Ireland | 7/17/2018 | ... | 10 | 5 | 5 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006062 | Mrs. Donna Gill | 1983 | Phd | Married | 51535.00 | 1 | 0 | Killarney | Ireland | 10/23/2017 | ... | 15 | 3 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006078 | Miss Maria Cornish | 1947 | Phd | Divorced | 89181.00 | 0 | 0 | Killarney | Ireland | 6/27/2018 | ... | 12 | 11 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006082 | Miss Lisa Underwood | 1987 | Master | Married | 28095.00 | 0 | 0 | Killarney | Ireland | 11/20/2018 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006085 | Mr. Steven Nash | 1953 | Phd | Married | 51175.00 | 1 | 1 | Killarney | Ireland | 1/4/2019 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006096 | Mr. Lucas Springer | 1978 | Phd | Married | 97807.00 | 0 | 0 | Kinsale | Ireland | 2/7/2019 | ... | 11 | 13 | 5 | 2 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10006112 | Mr. Oliver Peters | 1974 | Phd | Divorced | 83532.00 | 0 | 1 | Kinsale | Ireland | 6/16/2018 | ... | 13 | 6 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006117 | Mrs. Emma Fisher | 1980 | Phd | Married | 70170.00 | 0 | 1 | Kinsale | Ireland | 6/18/2018 | ... | 12 | 4 | 10 | 5 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10006135 | Mrs. Bella Vance | 1954 | Phd | Widow | 74388.00 | 0 | 1 | Cork | Ireland | 3/4/2018 | ... | 13 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006145 | Mr. Connor McLean | 1980 | Phd | Married | 40428.00 | 1 | 1 | Cork | Ireland | 1/4/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006168 | Mr. Brian Blake | 1974 | Phd | Married | 58631.00 | 1 | 0 | Cork | Ireland | 12/13/2017 | ... | 12 | 6 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006180 | Mr. Stewart Nash | 1983 | Graduation | Divorced | 58011.00 | 0 | 1 | Kinsale | Ireland | 6/28/2019 | ... | 7 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006196 | Mr. Evan Davidson | 1984 | Phd | Married | 41207.00 | 1 | 0 | Cork | Ireland | 2/18/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006211 | Mr. Jason Hardacre | 1972 | Phd | Married | 44301.00 | 1 | 1 | Cork | Ireland | 1/2/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006268 | Mr. Liam Mills | 1970 | Graduation | Married | 41859.00 | 1 | 2 | Cork | Ireland | 3/24/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006320 | Mr. Oliver Skinner | 1965 | Phd | Divorced | 86592.00 | 0 | 0 | Killarney | Ireland | 1/17/2018 | ... | 10 | 6 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006323 | Mr. William Nolan | 1977 | Graduation | Married | 51617.00 | 2 | 0 | Kinsale | Ireland | 11/7/2018 | ... | 7 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006362 | Mrs. Pippa Lewis | 1959 | Phd | Married | 62936.00 | 0 | 1 | Killarney | Ireland | 4/27/2019 | ... | 12 | 4 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006366 | Mr. Isaac Gibson | 1981 | Phd | Married | 34223.00 | 1 | 0 | Killarney | Ireland | 11/5/2017 | ... | 7 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006370 | Miss Leah Cameron | 1974 | Phd | Widow | 50153.00 | 1 | 1 | Kinsale | Ireland | 8/9/2018 | ... | 7 | 2 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10006392 | Mr. James Turner | 1957 | Phd | Single | 65981.00 | 1 | 1 | Cork | Ireland | 12/27/2017 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006397 | Mr. Alexander Davies | 1977 | Phd | Married | 63309.00 | 1 | 1 | Killarney | Ireland | 1/24/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006415 | Mrs. Bernadette Young | 1977 | Phd | Married | 45442.00 | 1 | 1 | Killarney | Ireland | 3/23/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006429 | Miss Carolyn Lewis | 1973 | Phd | Married | 77570.00 | 0 | 1 | Kinsale | Ireland | 3/27/2019 | ... | 14 | 7 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006435 | Mr. Jonathan Clarkson | 1991 | Phd | Married | 61540.00 | 1 | 0 | Kinsale | Ireland | 12/7/2018 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006442 | Miss Anna Coleman | 1960 | Phd | Single | 59513.00 | 1 | 1 | Kinsale | Ireland | 10/12/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006444 | Mrs. Jennifer King | 1968 | Phd | Married | 62462.00 | 0 | 1 | Killarney | Ireland | 9/24/2017 | ... | 17 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006463 | Miss Julia Scott | 1978 | Phd | Married | 44861.00 | 1 | 1 | Cork | Ireland | 2/21/2018 | ... | 8 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006465 | Mr. Peter Murray | 1983 | Graduation | Divorced | 52040.00 | 1 | 1 | Cork | Ireland | 1/2/2018 | ... | 8 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006481 | Mr. Peter Wright | 1971 | Phd | Married | 56856.00 | 1 | 0 | Kinsale | Ireland | 5/17/2018 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006483 | Miss Faith McDonald | 1994 | Graduation | Married | 113743.00 | 0 | 0 | Kinsale | Ireland | 10/13/2018 | ... | 11 | 9 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006501 | Mr. Lucas Paterson | 1980 | Phd | Married | 60004.00 | 1 | 0 | Killarney | Ireland | 6/30/2018 | ... | 10 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006536 | Mrs. Maria Hardacre | 1992 | Phd | Married | 70283.00 | 0 | 0 | Killarney | Ireland | 2/3/2018 | ... | 14 | 9 | 13 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006537 | Mr. Harry Ince | 1959 | Graduation | Married | 54826.00 | 1 | 1 | Cork | Ireland | 11/7/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006557 | Mr. Peter Hardacre | 1971 | Master | Married | 54789.00 | 1 | 1 | Killarney | Ireland | 5/4/2019 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006564 | Mr. Evan Thomson | 1953 | Phd | Divorced | 52077.00 | 2 | 1 | Killarney | Ireland | 2/3/2019 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006578 | Mr. Benjamin Hunter | 1990 | Master | Single | 61786.00 | 1 | 0 | Killarney | Ireland | 4/26/2019 | ... | 7 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006584 | Mr. Dan McGrath | 1962 | Phd | Married | 72773.00 | 0 | 1 | Cork | Ireland | 4/17/2019 | ... | 11 | 6 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006596 | Mr. Dylan Kelly | 1960 | Master | Married | 57505.00 | 0 | 2 | Kinsale | Ireland | 4/17/2018 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006616 | Mr. Gavin Hamilton | 1989 | Phd | Married | 104123.00 | 0 | 0 | Killarney | Ireland | 6/26/2019 | ... | 11 | 7 | 12 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006626 | Mr. Connor Alsop | 1973 | Graduation | Married | 62371.00 | 1 | 1 | Killarney | Ireland | 7/13/2018 | ... | 6 | 3 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006644 | Miss Hannah Arnold | 1963 | Phd | Married | 127549.95 | 0 | 1 | Kinsale | Ireland | 8/31/2017 | ... | 22 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006655 | Mr. Sebastian Kelly | 1974 | Phd | Married | 81082.00 | 0 | 2 | Kinsale | Ireland | 10/26/2017 | ... | 17 | 6 | 11 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006656 | Miss Abigail Knox | 1987 | Phd | Married | NaN | 1 | 0 | Cork | Ireland | 2/27/2019 | ... | 9 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006660 | Mrs. Audrey Hudson | 1974 | Phd | Single | 77454.00 | 1 | 1 | Cork | Ireland | 6/8/2019 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006675 | Mr. Steven Quinn | 1958 | Phd | Married | 67771.00 | 1 | 1 | Killarney | Ireland | 4/27/2018 | ... | 9 | 3 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006690 | Mr. Adrian Russell | 1965 | Phd | Married | 58950.00 | 1 | 1 | Cork | Ireland | 11/30/2018 | ... | 8 | 3 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006702 | Mr. Adrian May | 1954 | Phd | Married | 77174.00 | 0 | 1 | Killarney | Ireland | 12/22/2017 | ... | 12 | 3 | 6 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006728 | Mr. Robert MacDonald | 1989 | Phd | Single | 74804.00 | 0 | 0 | Killarney | Ireland | 3/4/2018 | ... | 10 | 10 | 13 | 2 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10006746 | Mr. Piers Reid | 1964 | Graduation | Divorced | 51110.00 | 1 | 1 | Cork | Ireland | 8/4/2017 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006766 | Mr. Alexander Grant | 1985 | Phd | Married | 79413.00 | 0 | 0 | Kinsale | Ireland | 9/13/2017 | ... | 15 | 5 | 13 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006776 | Mr. Peter Welch | 1966 | Phd | Married | 36870.00 | 1 | 1 | Killarney | Ireland | 9/25/2017 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006799 | Mr. Justin Kelly | 1950 | Graduation | Married | 24370.00 | 0 | 0 | Kinsale | Ireland | 9/7/2017 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006814 | Miss Andrea Ball | 1965 | Phd | Divorced | 79205.00 | 0 | 1 | Cork | Ireland | 12/22/2017 | ... | 9 | 4 | 11 | 8 | 0 | 1 | 0 | 0 | 1 | 0 |
| 10006832 | Mrs. Anne Ellison | 1973 | Phd | Married | 73784.00 | 0 | 0 | Kinsale | Ireland | 8/9/2018 | ... | 16 | 12 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006863 | Mr. Brandon Hughes | 1955 | Phd | Married | 37885.00 | 0 | 1 | Killarney | Ireland | 4/9/2019 | ... | 8 | 3 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006917 | Mr. Leonard Forsyth | 1986 | Phd | Married | 25980.00 | 1 | 0 | Kinsale | Ireland | 9/25/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006935 | Mr. Alexander Fisher | 1988 | Phd | Married | 55588.00 | 1 | 0 | Cork | Ireland | 3/23/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006962 | Mr. Andrew Short | 1988 | Phd | Married | 118870.00 | 1 | 0 | Cork | Ireland | 2/19/2018 | ... | 12 | 7 | 11 | 8 | 1 | 0 | 1 | 0 | 0 | 0 |
| 10006970 | Miss Anne Mills | 1981 | Phd | Married | 51806.00 | 1 | 1 | Killarney | Ireland | 12/27/2017 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006971 | Miss Samantha James | 1980 | Phd | Married | 46113.00 | 2 | 1 | Cork | Ireland | 4/20/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006973 | Mr. Christopher Alsop | 1961 | Phd | Married | 77448.00 | 0 | 1 | Kinsale | Ireland | 1/21/2018 | ... | 17 | 5 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006980 | Mr. Neil Clark | 1967 | Phd | Married | 80841.00 | 1 | 1 | Kinsale | Ireland | 4/6/2018 | ... | 15 | 4 | 8 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10006984 | Mr. Harry Martin | 1983 | Phd | Married | 33829.00 | 1 | 1 | Cork | Ireland | 9/16/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006989 | Mr. Kevin Jones | 1982 | Phd | Married | 63025.00 | 1 | 1 | Killarney | Ireland | 6/3/2019 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10006998 | Mrs. Leah White | 1969 | Phd | Married | 79437.00 | 0 | 1 | Cork | Ireland | 1/20/2018 | ... | 12 | 12 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007000 | Miss Amanda Miller | 1975 | Phd | Married | 63751.00 | 0 | 1 | Cork | Ireland | 2/1/2019 | ... | 8 | 4 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10007030 | Mr. Steven Hodges | 1958 | Phd | Single | 63022.00 | 0 | 1 | Cork | Ireland | 10/17/2017 | ... | 13 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007039 | Mr. Justin Paterson | 1962 | Phd | Divorced | 44806.00 | 1 | 1 | Cork | Ireland | 4/6/2019 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007064 | Mrs. Grace Pullman | 1954 | Graduation | Single | 51397.00 | 0 | 0 | Killarney | Ireland | 10/2/2017 | ... | 9 | 4 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007065 | Mr. Colin King | 1971 | Phd | Married | 51804.00 | 1 | 1 | Cork | Ireland | 5/24/2019 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007086 | Mrs. Sonia Short | 1990 | Phd | Married | 62697.00 | 0 | 0 | Cork | Ireland | 3/6/2019 | ... | 10 | 7 | 7 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007092 | Mr. Peter Scott | 1977 | Phd | Single | 91266.00 | 0 | 1 | Cork | Ireland | 5/13/2018 | ... | 13 | 9 | 9 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007104 | Miss Dorothy Morrison | 1969 | Graduation | Married | 46273.00 | 1 | 1 | Cork | Ireland | 4/25/2019 | ... | 7 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007108 | Mr. Alan Russell | 1953 | Phd | Married | 46643.00 | 0 | 1 | Cork | Ireland | 11/23/2018 | ... | 7 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007112 | Mr. Piers Jackson | 1982 | Graduation | Married | 17499.00 | 1 | 0 | Kinsale | Ireland | 9/3/2018 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007113 | Mr. Simon White | 1994 | Graduation | Married | 31911.00 | 1 | 0 | Cork | Ireland | 4/24/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007169 | Mr. Andrew Duncan | 1977 | Phd | Single | 99741.00 | 0 | 1 | Cork | Ireland | 12/20/2017 | ... | 11 | 6 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007181 | Miss Penelope Springer | 1990 | Graduation | Married | 52604.00 | 1 | 0 | Cork | Ireland | 4/4/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007182 | Mrs. Kylie Russell | 1976 | Phd | Married | 69575.00 | 1 | 0 | Kinsale | Ireland | 9/19/2018 | ... | 11 | 3 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007184 | Mrs. Joan Paterson | 1957 | Phd | Married | 58831.00 | 0 | 1 | Killarney | Ireland | 5/12/2018 | ... | 12 | 4 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007216 | Miss Penelope Mathis | 1981 | Phd | Married | 39480.00 | 1 | 0 | Kinsale | Ireland | 11/19/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007223 | Mr. Justin Murray | 1986 | Master | Married | 85044.00 | 2 | 0 | Kinsale | Ireland | 4/15/2019 | ... | 8 | 4 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007256 | Mr. Justin Vaughan | 1981 | Phd | Single | 93252.00 | 0 | 1 | Killarney | Ireland | 6/22/2018 | ... | 9 | 5 | 4 | 6 | 0 | 1 | 1 | 0 | 1 | 0 |
| 10007277 | Miss Ava Langdon | 1970 | Master | Married | 74414.00 | 1 | 1 | Kinsale | Ireland | 3/19/2019 | ... | 7 | 3 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007286 | Mr. Sam Poole | 1969 | Phd | Single | 68548.00 | 1 | 1 | Cork | Ireland | 5/27/2018 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007295 | Mrs. Alison Bailey | 1958 | Graduation | Married | 88056.00 | 1 | 1 | Cork | Ireland | 6/18/2019 | ... | 13 | 7 | 3 | 6 | 0 | 1 | 0 | 0 | 0 | 1 |
| 10007321 | Mr. Lucas Skinner | 1960 | Phd | Married | 41938.00 | 1 | 1 | Kinsale | Ireland | 7/7/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007323 | Miss Victoria North | 1964 | Phd | Married | 59100.00 | 0 | 1 | Killarney | Ireland | 3/8/2018 | ... | 14 | 4 | 7 | 8 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10007326 | Mrs. Diana Mathis | 1981 | Phd | Married | 33810.00 | 0 | 1 | Kinsale | Ireland | 7/23/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007339 | Mrs. Sue Randall | 1966 | Phd | Married | 136171.95 | 0 | 1 | Killarney | Ireland | 8/17/2018 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007341 | Mr. Stewart Marshall | 1979 | Phd | Single | 65232.00 | 1 | 1 | Cork | Ireland | 10/19/2018 | ... | 10 | 4 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007353 | Mr. Lucas Brown | 1955 | Phd | Married | 60090.00 | 0 | 1 | Killarney | Ireland | 5/17/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007381 | Mr. Evan Piper | 1953 | Phd | Married | 68245.00 | 0 | 1 | Cork | Ireland | 6/24/2019 | ... | 7 | 3 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10007395 | Mr. Max Wright | 1966 | Graduation | Married | 40176.00 | 1 | 1 | Kinsale | Ireland | 3/19/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007403 | Mr. Paul Buckland | 1974 | Phd | Married | 4476.30 | 0 | 1 | Killarney | Ireland | 12/20/2017 | ... | 1 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007418 | Mr. Joseph Wright | 1959 | Master | Married | 39562.00 | 1 | 1 | Killarney | Ireland | 3/13/2018 | ... | 6 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007434 | Mr. Jack Gray | 1975 | Graduation | Single | 47686.00 | 1 | 0 | Cork | Ireland | 12/12/2018 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007455 | Mr. Carl Knox | 1985 | Master | Single | 60040.00 | 1 | 1 | Kinsale | Ireland | 5/24/2019 | ... | 8 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007481 | Mr. Jack Ogden | 1958 | Phd | Divorced | 53134.00 | 1 | 1 | Kinsale | Ireland | 4/8/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007500 | Miss Felicity Hughes | 1984 | Graduation | Single | 69097.00 | 2 | 1 | Kinsale | Ireland | 6/30/2019 | ... | 7 | 2 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10007504 | Miss Audrey Wallace | 1955 | Master | Married | 62362.00 | 1 | 1 | Kinsale | Ireland | 12/15/2018 | ... | 10 | 3 | 4 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10007505 | Mr. Keith Pullman | 1986 | Phd | Single | 95263.00 | 0 | 0 | Cork | Ireland | 4/10/2019 | ... | 8 | 5 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007506 | Mr. Brandon Quinn | 1978 | Phd | Single | 61943.00 | 0 | 1 | Killarney | Ireland | 1/22/2019 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007510 | Mr. Eric Mackenzie | 1970 | Phd | Married | NaN | 0 | 1 | Kinsale | Ireland | 10/9/2017 | ... | 11 | 7 | 8 | 8 | 0 | 0 | 0 | 0 | 1 | 0 |
| 10007516 | Mrs. Emma May | 1978 | Master | Married | 19603.00 | 1 | 0 | Cork | Ireland | 1/7/2019 | ... | 9 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007557 | Mr. Carl Mackay | 1973 | Master | Married | 99247.00 | 0 | 1 | Cork | Ireland | 6/27/2019 | ... | 11 | 5 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007583 | Miss Michelle Hudson | 1957 | Phd | Widow | 39782.00 | 1 | 2 | Kinsale | Ireland | 3/24/2018 | ... | 10 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007605 | Mr. Sean Smith | 1979 | Graduation | Married | 85237.00 | 0 | 0 | Cork | Ireland | 4/12/2019 | ... | 9 | 5 | 13 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007611 | Mr. Ian Campbell | 1977 | Phd | Married | 56525.00 | 1 | 0 | Killarney | Ireland | 3/24/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007612 | Mr. Sebastian Manning | 1976 | Phd | Married | 83985.00 | 0 | 1 | Killarney | Ireland | 4/23/2019 | ... | 10 | 4 | 10 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007623 | Miss Wendy Avery | 1949 | Phd | Married | 68750.00 | 0 | 0 | Kinsale | Ireland | 10/2/2017 | ... | 10 | 6 | 10 | 8 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10007627 | Mr. Leonard Mackenzie | 1952 | Phd | Married | 78249.00 | 0 | 1 | Cork | Ireland | 3/7/2019 | ... | 13 | 3 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007629 | Mr. Sam Lee | 1969 | Phd | Married | 72096.00 | 1 | 1 | Killarney | Ireland | 7/28/2018 | ... | 8 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007648 | Mr. Carl Marshall | 1957 | Phd | Married | 72175.00 | 0 | 1 | Killarney | Ireland | 2/17/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007664 | Mr. Robert Miller | 1969 | Phd | Married | 59984.00 | 1 | 1 | Killarney | Ireland | 11/11/2017 | ... | 10 | 4 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007694 | Mr. Harry Powell | 1963 | Phd | Married | 61999.00 | 0 | 2 | Kinsale | Ireland | 3/7/2018 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007704 | Miss Caroline Hill | 1952 | Phd | Married | 51257.00 | 1 | 1 | Kinsale | Ireland | 1/28/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007740 | Mr. Luke Allan | 1988 | Phd | Married | 92296.00 | 0 | 0 | Killarney | Ireland | 7/13/2018 | ... | 13 | 8 | 11 | 4 | 1 | 0 | 1 | 0 | 0 | 0 |
| 10007770 | Mr. Alan Springer | 1962 | Master | Married | 51997.00 | 1 | 1 | Kinsale | Ireland | 11/4/2017 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10007776 | Mr. Alexander Howard | 1949 | Phd | Married | 94787.00 | 0 | 0 | Kinsale | Ireland | 4/11/2018 | ... | 13 | 10 | 12 | 4 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10007785 | Mr. Keith Scott | 1981 | Phd | Divorced | 44243.00 | 1 | 1 | Kinsale | Ireland | 5/29/2018 | ... | 8 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007788 | Mr. Trevor Poole | 1965 | Phd | Single | 53865.00 | 1 | 1 | Kinsale | Ireland | 3/17/2019 | ... | 9 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007816 | Mr. Isaac Jones | 1970 | Phd | Married | 46932.00 | 1 | 1 | Killarney | Ireland | 9/16/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007834 | Mr. Connor Martin | 1960 | Phd | Married | 27061.00 | 1 | 1 | Killarney | Ireland | 8/2/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007839 | Mr. Jonathan Burgess | 1954 | Phd | Widow | 39295.00 | 1 | 1 | Cork | Ireland | 3/19/2019 | ... | 8 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007863 | Mrs. Dorothy Scott | 1964 | Phd | Married | 29574.00 | 0 | 1 | Killarney | Ireland | 11/1/2018 | ... | 9 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007871 | Mr. John Scott | 1976 | Phd | Married | 44241.00 | 1 | 0 | Cork | Ireland | 1/4/2019 | ... | 7 | 2 | 2 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10007888 | Mr. Justin Turner | 1966 | Phd | Married | 50430.00 | 1 | 1 | Killarney | Ireland | 2/21/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007904 | Mr. Tim Peters | 1974 | Phd | Married | 54824.00 | 1 | 0 | Killarney | Ireland | 4/22/2018 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007910 | Mr. Sean Sutherland | 1962 | Phd | Married | 89237.00 | 0 | 1 | Cork | Ireland | 9/25/2018 | ... | 13 | 6 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 |
| 10007925 | Mr. Kevin Lambert | 1985 | Phd | Married | 19928.00 | 1 | 0 | Cork | Ireland | 10/1/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007932 | Mrs. Nicola Hemmings | 1957 | Master | Single | 43828.00 | 1 | 1 | Kinsale | Ireland | 3/10/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007933 | Mr. Dan Howard | 1970 | Phd | Divorced | 52852.00 | 1 | 1 | Cork | Ireland | 12/14/2018 | ... | 7 | 3 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007951 | Mr. Benjamin Turner | 1973 | Phd | Single | 52135.00 | 0 | 1 | Kinsale | Ireland | 4/28/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007963 | Mr. Michael Newman | 1977 | Master | Married | 23999.00 | 1 | 0 | Cork | Ireland | 7/21/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007964 | Mr. Victor Nash | 1972 | Phd | Single | 49782.00 | 1 | 0 | Kinsale | Ireland | 6/26/2019 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007981 | Mr. James Johnston | 1970 | Phd | Married | 66821.00 | 1 | 1 | Killarney | Ireland | 6/21/2019 | ... | 7 | 2 | 4 | 5 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10007988 | Mr. Max Underwood | 1974 | Phd | Married | 73220.00 | 2 | 1 | Kinsale | Ireland | 4/29/2018 | ... | 12 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10007999 | Mr. Trevor North | 1979 | Graduation | Single | 84145.00 | 0 | 1 | Kinsale | Ireland | 5/1/2018 | ... | 17 | 6 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008000 | Mr. Sam Hamilton | 1974 | Phd | Single | 36816.00 | 1 | 0 | Killarney | Ireland | 5/7/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008023 | Mrs. Emily Hart | 1974 | Phd | Married | 58951.00 | 1 | 0 | Killarney | Ireland | 3/22/2019 | ... | 7 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008039 | Miss Leah Cornish | 1974 | Phd | Married | 28397.00 | 1 | 0 | Cork | Ireland | 2/27/2019 | ... | 8 | 3 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008055 | Mr. Andrew Bell | 1978 | Phd | Divorced | 102164.00 | 0 | 0 | Cork | Ireland | 4/9/2019 | ... | 9 | 13 | 7 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| 10008062 | Miss Angela Abraham | 1957 | Graduation | Married | 98522.00 | 0 | 0 | Cork | Ireland | 11/14/2018 | ... | 9 | 13 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008065 | Mr. Gavin Morrison | 1971 | Phd | Married | 51524.00 | 1 | 1 | Cork | Ireland | 11/30/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10008110 | Mr. Jake Alsop | 1958 | Phd | Married | 78417.00 | 1 | 1 | Cork | Ireland | 9/3/2018 | ... | 9 | 3 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008115 | Mr. William Sutherland | 1962 | Phd | Married | 65734.00 | 1 | 1 | Cork | Ireland | 10/15/2017 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008117 | Miss Audrey Newman | 1963 | Phd | Married | 65904.00 | 0 | 1 | Cork | Ireland | 3/1/2018 | ... | 15 | 5 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008122 | Mr. Colin Marshall | 1971 | Phd | Married | 57490.00 | 0 | 1 | Kinsale | Ireland | 3/5/2018 | ... | 9 | 3 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008128 | Mr. Dan Springer | 1959 | Phd | Widow | 61902.00 | 1 | 1 | Killarney | Ireland | 10/14/2018 | ... | 8 | 4 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008145 | Mr. Carl Hemmings | 1962 | Phd | Single | 58761.00 | 1 | 1 | Killarney | Ireland | 3/16/2018 | ... | 7 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008149 | Mr. Neil Hemmings | 1973 | Graduation | Married | 41562.00 | 1 | 1 | Cork | Ireland | 11/21/2017 | ... | 6 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008155 | Mrs. Abigail Ince | 1978 | Phd | Married | 41722.00 | 1 | 0 | Kinsale | Ireland | 4/25/2018 | ... | 6 | 2 | 3 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008156 | Mr. William Black | 1983 | Phd | Married | NaN | 1 | 0 | Killarney | Ireland | 6/19/2018 | ... | 9 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008170 | Mr. Gavin Taylor | 1982 | Graduation | Single | 27283.00 | 1 | 0 | Cork | Ireland | 6/3/2018 | ... | 8 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008184 | Mrs. Gabrielle Ince | 1968 | Phd | Married | 44223.00 | 0 | 1 | Cork | Ireland | 10/14/2017 | ... | 8 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008190 | Mr. Stewart Randall | 1981 | Phd | Married | 84259.00 | 0 | 1 | Kinsale | Ireland | 9/18/2017 | ... | 14 | 10 | 10 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008192 | Mr. Adrian Davies | 1982 | Phd | Married | 47607.00 | 1 | 0 | Kinsale | Ireland | 7/18/2018 | ... | 6 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008203 | Mr. Austin Pullman | 1991 | Phd | Married | 39030.00 | 1 | 0 | Cork | Ireland | 9/3/2017 | ... | 7 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008210 | Mr. Eric Smith | 1978 | Master | Single | 34765.00 | 1 | 0 | Killarney | Ireland | 6/10/2019 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008215 | Mr. Peter Short | 1959 | Phd | Divorced | 53934.00 | 0 | 1 | Kinsale | Ireland | 2/17/2019 | ... | 7 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008238 | Mr. Peter Burgess | 1968 | Phd | Married | 85418.00 | 0 | 1 | Cork | Ireland | 11/26/2017 | ... | 16 | 5 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008250 | Mr. Tim Mitchell | 1986 | Phd | Married | 77702.00 | 0 | 0 | Kinsale | Ireland | 1/26/2018 | ... | 16 | 4 | 12 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10008258 | Mr. Oliver Turner | 1963 | Phd | Married | 157942.05 | 1 | 1 | Cork | Ireland | 1/14/2018 | ... | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008279 | Mr. Dylan Mathis | 1973 | Phd | Married | 97615.00 | 0 | 1 | Killarney | Ireland | 5/16/2019 | ... | 12 | 5 | 12 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008280 | Mr. Isaac Hamilton | 1963 | Graduation | Married | 56000.00 | 1 | 1 | Kinsale | Ireland | 2/5/2018 | ... | 10 | 6 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008286 | Mrs. Rose Underwood | 1979 | Phd | Married | 46177.00 | 1 | 1 | Killarney | Ireland | 2/13/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008300 | Mrs. Wanda King | 1976 | Phd | Married | 48460.00 | 1 | 1 | Killarney | Ireland | 5/9/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008350 | Mr. Benjamin Murray | 1964 | Phd | Single | 44838.00 | 1 | 1 | Cork | Ireland | 8/9/2017 | ... | 9 | 3 | 4 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008356 | Mrs. Julia Allan | 1978 | Phd | Married | 49235.00 | 1 | 1 | Cork | Ireland | 6/3/2019 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008360 | Mr. Ian Langdon | 1970 | Phd | Married | 55586.00 | 1 | 1 | Killarney | Ireland | 1/26/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008361 | Mr. Paul Ferguson | 1962 | Phd | Single | 64023.00 | 0 | 1 | Killarney | Ireland | 8/25/2017 | ... | 17 | 3 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008368 | Mr. Richard Turner | 1964 | Phd | Married | 59312.00 | 0 | 1 | Kinsale | Ireland | 3/13/2019 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008373 | Miss Jane Piper | 1978 | Phd | Divorced | 60591.00 | 1 | 1 | Kinsale | Ireland | 9/23/2017 | ... | 12 | 3 | 4 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008377 | Mrs. Lisa Mills | 1976 | Phd | Married | 62227.00 | 1 | 1 | Killarney | Ireland | 9/17/2017 | ... | 12 | 3 | 8 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008400 | Mr. Stephen MacDonald | 1974 | Phd | Married | 28606.00 | 1 | 1 | Cork | Ireland | 3/25/2019 | ... | 7 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008408 | Mr. Jake Ferguson | 1978 | Phd | Divorced | 107106.00 | 0 | 0 | Killarney | Ireland | 12/29/2018 | ... | 13 | 10 | 4 | 4 | 0 | 0 | 1 | 0 | 0 | 0 |
| 10008409 | Mr. Leonard Martin | 1980 | Phd | Widow | 49699.00 | 0 | 0 | Cork | Ireland | 5/23/2018 | ... | 15 | 3 | 6 | 8 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10008415 | Mr. Alexander Nash | 1963 | Graduation | Married | 42709.00 | 1 | 1 | Killarney | Ireland | 11/26/2018 | ... | 7 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008431 | Mr. Warren Kerr | 1985 | Phd | Married | 27879.00 | 1 | 0 | Killarney | Ireland | 4/9/2019 | ... | 9 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008439 | Mr. Brian Glover | 1977 | Phd | Divorced | 37127.00 | 1 | 1 | Cork | Ireland | 8/13/2018 | ... | 9 | 3 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008448 | Mr. Dominic Parr | 1977 | Phd | Married | 62428.00 | 0 | 1 | Cork | Ireland | 8/15/2017 | ... | 12 | 4 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008453 | Mrs. Faith Ross | 1981 | Phd | Married | 43444.00 | 1 | 1 | Killarney | Ireland | 6/16/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008461 | Miss Megan Roberts | 1970 | Phd | Married | 5193.40 | 0 | 0 | Cork | Ireland | 11/26/2017 | ... | 2 | 1 | 0 | 11 | 1 | 0 | 0 | 1 | 0 | 0 |
| 10008477 | Mr. Gavin Mackenzie | 1981 | Phd | Widow | 83332.00 | 1 | 0 | Cork | Ireland | 12/10/2018 | ... | 9 | 3 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008491 | Mr. David Paige | 1984 | Master | Married | 83407.00 | 0 | 1 | Kinsale | Ireland | 5/12/2018 | ... | 13 | 5 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008496 | Mr. Matt Avery | 1958 | Phd | Married | 77101.00 | 0 | 1 | Cork | Ireland | 4/4/2018 | ... | 14 | 4 | 8 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008498 | Mr. Evan Abraham | 1967 | Phd | Widow | 133197.45 | 0 | 1 | Kinsale | Ireland | 9/14/2017 | ... | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008526 | Mrs. Vanessa Arnold | 1980 | Phd | Married | 56316.00 | 1 | 1 | Kinsale | Ireland | 7/11/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008536 | Mr. Brian Hunter | 1980 | Graduation | Married | 55691.00 | 0 | 1 | Cork | Ireland | 7/11/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008568 | Mr. Tim Hamilton | 1969 | Phd | Married | 59767.00 | 0 | 1 | Kinsale | Ireland | 4/27/2019 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008569 | Mr. Stephen Alsop | 1989 | Phd | Married | 42220.00 | 1 | 0 | Kinsale | Ireland | 12/22/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008575 | Mrs. Abigail Short | 1977 | Phd | Single | 87580.00 | 0 | 2 | Killarney | Ireland | 3/30/2019 | ... | 15 | 4 | 9 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008594 | Miss Emma Campbell | 1959 | Phd | Married | 51269.00 | 1 | 1 | Kinsale | Ireland | 3/31/2019 | ... | 9 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008598 | Mr. Max Peters | 1960 | Phd | Widow | 81068.00 | 0 | 1 | Kinsale | Ireland | 10/21/2017 | ... | 13 | 6 | 6 | 6 | 0 | 1 | 0 | 1 | 0 | 0 |
| 10008601 | Mr. Luke Payne | 1977 | Graduation | Married | 82157.00 | 0 | 0 | Kinsale | Ireland | 9/30/2017 | ... | 9 | 8 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008617 | Mr. Justin Clark | 1976 | Phd | Married | 102659.00 | 0 | 1 | Cork | Ireland | 3/29/2018 | ... | 17 | 6 | 9 | 5 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10008637 | Mr. Cameron Peters | 1958 | Phd | Married | 91151.00 | 0 | 1 | Killarney | Ireland | 4/5/2018 | ... | 8 | 4 | 12 | 7 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10008656 | Mr. Steven Churchill | 1959 | Graduation | Married | 41003.00 | 1 | 1 | Kinsale | Ireland | 7/12/2018 | ... | 7 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008661 | Mrs. Pippa Russell | 1959 | Phd | Married | 46954.00 | 1 | 1 | Killarney | Ireland | 7/7/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008686 | Mrs. Ella Metcalfe | 1984 | Phd | Married | 40473.00 | 1 | 0 | Killarney | Ireland | 6/10/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008712 | Mr. Lucas Reid | 1953 | Phd | Married | 70668.00 | 1 | 1 | Kinsale | Ireland | 6/10/2019 | ... | 9 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008721 | Mr. Joshua Walsh | 1965 | Phd | Married | 52337.00 | 0 | 1 | Cork | Ireland | 12/16/2018 | ... | 10 | 4 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008722 | Mr. Owen Cameron | 1967 | Phd | Single | 52243.00 | 0 | 1 | Cork | Ireland | 9/11/2018 | ... | 7 | 3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008729 | Miss Jan Alsop | 1992 | Phd | Married | 59339.00 | 1 | 0 | Killarney | Ireland | 3/5/2019 | ... | 9 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008742 | Mr. Steven Henderson | 1958 | Graduation | Married | 57226.00 | 1 | 1 | Cork | Ireland | 5/22/2018 | ... | 9 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008749 | Mrs. Jan Peters | 1960 | Phd | Married | 54982.00 | 0 | 1 | Kinsale | Ireland | 4/12/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008761 | Mr. William Howard | 1956 | Phd | Divorced | 100133.25 | 0 | 0 | Cork | Ireland | 8/8/2018 | ... | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10008763 | Mrs. Michelle Gibson | 1991 | Phd | Married | 51947.00 | 1 | 0 | Kinsale | Ireland | 12/31/2018 | ... | 8 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008787 | Mr. Piers MacDonald | 1956 | Phd | Widow | 100100.00 | 0 | 0 | Cork | Ireland | 1/13/2019 | ... | 9 | 8 | 12 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 10008795 | Mr. Andrew Davidson | 1986 | Phd | Divorced | 39569.00 | 1 | 0 | Killarney | Ireland | 12/8/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008829 | Mrs. Gabrielle Jackson | 1973 | Phd | Married | 27236.00 | 1 | 0 | Killarney | Ireland | 3/25/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008873 | Mr. Oliver Vance | 1951 | Phd | Single | 69276.00 | 0 | 0 | Kinsale | Ireland | 8/30/2017 | ... | 16 | 5 | 13 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008886 | Mr. Edward Butler | 1960 | Master | Married | 45627.00 | 1 | 1 | Killarney | Ireland | 2/12/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008897 | Mr. Alan Quinn | 1982 | Phd | Divorced | 52886.00 | 1 | 0 | Cork | Ireland | 5/26/2018 | ... | 10 | 4 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10008905 | Mr. Luke Springer | 1953 | Phd | Divorced | 85819.00 | 0 | 1 | Kinsale | Ireland | 4/19/2019 | ... | 17 | 5 | 10 | 7 | 0 | 1 | 0 | 1 | 1 | 0 |
| 10008910 | Mrs. Virginia Ferguson | 1969 | Graduation | Single | 53192.00 | 1 | 1 | Killarney | Ireland | 5/3/2019 | ... | 8 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008923 | Mrs. Penelope Ball | 1980 | Phd | Married | 61640.00 | 1 | 1 | Killarney | Ireland | 9/23/2018 | ... | 6 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008933 | Mr. Joe Harris | 1981 | Phd | Married | 102732.00 | 0 | 1 | Kinsale | Ireland | 8/4/2018 | ... | 15 | 7 | 13 | 8 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10008951 | Mr. Carl Piper | 1972 | Phd | Married | 53643.00 | 0 | 1 | Kinsale | Ireland | 10/15/2018 | ... | 8 | 3 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008952 | Mrs. Fiona Forsyth | 1970 | Phd | Divorced | 52304.00 | 0 | 0 | Killarney | Ireland | 5/11/2018 | ... | 6 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008972 | Miss Hannah Rees | 1973 | Phd | Single | 84592.00 | 1 | 1 | Cork | Ireland | 4/28/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008983 | Mr. Alan Turner | 1973 | Phd | Married | 29603.00 | 1 | 0 | Cork | Ireland | 11/8/2017 | ... | 8 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008985 | Mr. Sean Quinn | 1975 | Phd | Married | 83350.00 | 0 | 1 | Killarney | Ireland | 9/10/2018 | ... | 12 | 6 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10008993 | Mr. Owen Wilson | 1979 | Master | Single | 48647.00 | 2 | 1 | Killarney | Ireland | 3/21/2019 | ... | 7 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009000 | Mr. Jake Abraham | 1973 | Phd | Married | 72674.00 | 0 | 1 | Killarney | Ireland | 4/4/2019 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009003 | Mrs. Karen Welch | 1988 | Phd | Single | 34809.00 | 1 | 0 | Cork | Ireland | 8/24/2018 | ... | 6 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009009 | Mr. Jake Langdon | 1970 | Phd | Married | 81567.00 | 1 | 1 | Kinsale | Ireland | 4/27/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009018 | Mr. Stephen White | 1974 | Graduation | Married | 144765.15 | 0 | 1 | Cork | Ireland | 6/27/2018 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009077 | Mr. Richard Baker | 1965 | Graduation | Married | 51644.00 | 1 | 1 | Kinsale | Ireland | 8/10/2018 | ... | 7 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10009079 | Mrs. Julia Murray | 1985 | Phd | Married | 51849.00 | 1 | 0 | Cork | Ireland | 3/3/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009084 | Mr. Christian Rampling | 1993 | Master | Married | 54263.00 | 1 | 0 | Cork | Ireland | 6/29/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009148 | Mr. Dominic Mackay | 1970 | Phd | Married | 35541.00 | 1 | 1 | Cork | Ireland | 12/18/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009156 | Mr. Michael Underwood | 1977 | Phd | Married | 103359.00 | 0 | 1 | Killarney | Ireland | 8/29/2018 | ... | 14 | 9 | 7 | 4 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10009157 | Mrs. Amelia Wright | 1968 | Phd | Married | 71035.00 | 0 | 1 | Killarney | Ireland | 12/1/2018 | ... | 11 | 4 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009163 | Mr. Boris MacLeod | 1953 | Phd | Widow | 78640.00 | 0 | 1 | Kinsale | Ireland | 4/6/2019 | ... | 11 | 6 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009164 | Mr. Robert Terry | 1972 | Graduation | Widow | 40997.00 | 1 | 1 | Cork | Ireland | 10/9/2018 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009168 | Mrs. Megan Watson | 1988 | Graduation | Single | 18767.00 | 1 | 0 | Cork | Ireland | 2/28/2019 | ... | 7 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009176 | Miss Bernadette Howard | 1948 | Phd | Married | 92087.00 | 0 | 0 | Cork | Ireland | 4/1/2019 | ... | 13 | 4 | 12 | 3 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10009198 | Miss Theresa Payne | 1974 | Phd | Divorced | 42046.00 | 1 | 0 | Killarney | Ireland | 9/27/2018 | ... | 7 | 3 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10009223 | Miss Joanne Hardacre | 1975 | Master | Married | 73011.00 | 0 | 1 | Cork | Ireland | 5/9/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009227 | Mrs. Jane Peters | 1957 | Phd | Married | 72696.00 | 0 | 1 | Cork | Ireland | 3/12/2019 | ... | 9 | 3 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009236 | Mr. Gavin Allan | 1967 | Phd | Married | 79380.00 | 0 | 1 | Killarney | Ireland | 4/17/2019 | ... | 13 | 5 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009251 | Mr. Thomas Russell | 1974 | Phd | Married | 24225.00 | 1 | 0 | Killarney | Ireland | 2/20/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009259 | Mrs. Dorothy Rees | 1971 | Phd | Single | 49878.00 | 1 | 1 | Cork | Ireland | 3/26/2019 | ... | 6 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009261 | Mr. Harry Mitchell | 1963 | Phd | Divorced | 56324.00 | 1 | 1 | Kinsale | Ireland | 12/12/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009282 | Mr. Edward King | 1973 | Phd | Divorced | 35427.00 | 1 | 0 | Killarney | Ireland | 11/27/2018 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009289 | Mrs. Nicola Berry | 1971 | Graduation | Married | 71524.00 | 0 | 1 | Killarney | Ireland | 7/13/2018 | ... | 8 | 3 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009302 | Mr. Christian Murray | 1969 | Phd | Married | 58191.00 | 0 | 1 | Killarney | Ireland | 10/24/2017 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009309 | Mrs. Theresa Taylor | 1982 | Master | Single | 36340.00 | 1 | 0 | Killarney | Ireland | 11/8/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009312 | Mrs. Dorothy Blake | 1983 | Graduation | Married | 73626.00 | 1 | 0 | Kinsale | Ireland | 5/18/2018 | ... | 11 | 4 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009324 | Mr. Steven Metcalfe | 1981 | Phd | Married | 74478.00 | 0 | 1 | Killarney | Ireland | 8/13/2018 | ... | 14 | 6 | 9 | 7 | 1 | 0 | 0 | 0 | 1 | 0 |
| 10009356 | Mr. Sam Dyer | 1969 | Graduation | Single | 29250.00 | 0 | 0 | Cork | Ireland | 3/27/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009360 | Mr. Thomas Peake | 1980 | Phd | Married | 50027.00 | 0 | 2 | Killarney | Ireland | 3/1/2019 | ... | 6 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009367 | Mr. Phil Bailey | 1981 | Phd | Divorced | 5286.30 | 0 | 1 | Kinsale | Ireland | 2/4/2019 | ... | 30 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009369 | Mrs. Lily Terry | 1991 | Graduation | Single | 23867.00 | 1 | 0 | Killarney | Ireland | 10/22/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009384 | Mr. Sam McLean | 1970 | Phd | Single | 15459.00 | 0 | 1 | Killarney | Ireland | 10/9/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10009410 | Mr. Stewart Walsh | 1975 | Phd | Married | 29857.00 | 1 | 0 | Cork | Ireland | 1/25/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009427 | Mr. Christian Harris | 1962 | Phd | Single | 128536.00 | 0 | 0 | Killarney | Ireland | 8/1/2017 | ... | 13 | 12 | 11 | 3 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10009437 | Mr. Cameron Walsh | 1956 | Phd | Married | 38996.00 | 1 | 1 | Kinsale | Ireland | 6/14/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009439 | Mrs. Lillian Ince | 1972 | Phd | Married | 51547.00 | 1 | 1 | Kinsale | Ireland | 11/10/2018 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009470 | Mrs. Dorothy Young | 1982 | Phd | Married | 59469.00 | 1 | 1 | Cork | Ireland | 2/16/2019 | ... | 12 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009503 | Mr. Adrian Roberts | 1979 | Phd | Married | 60205.00 | 1 | 1 | Kinsale | Ireland | 7/26/2018 | ... | 11 | 4 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009507 | Mr. Ryan Alsop | 1977 | Phd | Married | 125265.00 | 0 | 0 | Cork | Ireland | 8/18/2017 | ... | 12 | 12 | 13 | 3 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10009511 | Mr. Ian Quinn | 1983 | Master | Married | 94004.00 | 0 | 0 | Killarney | Ireland | 10/1/2017 | ... | 8 | 6 | 9 | 6 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10009514 | Mr. Tim Sutherland | 1962 | Phd | Widow | 44591.00 | 1 | 1 | Cork | Ireland | 11/4/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009517 | Mr. Adrian Grant | 1962 | Phd | Widow | 59401.00 | 0 | 1 | Kinsale | Ireland | 9/1/2018 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009525 | Mrs. Tracey Marshall | 1970 | Phd | Married | 44414.00 | 1 | 1 | Cork | Ireland | 2/4/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009540 | Mr. James Gibson | 1963 | Master | Divorced | 76677.00 | 0 | 1 | Kinsale | Ireland | 2/2/2018 | ... | 16 | 4 | 12 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10009541 | Mrs. Emily Butler | 1954 | Phd | Married | 57431.00 | 0 | 1 | Killarney | Ireland | 7/25/2018 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009547 | Mrs. Emily Johnston | 1964 | Phd | Married | 47029.00 | 1 | 1 | Cork | Ireland | 6/9/2019 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009563 | Mrs. Ruth Paterson | 1988 | Phd | Divorced | 32933.00 | 1 | 0 | Killarney | Ireland | 3/25/2018 | ... | 7 | 2 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10009567 | Mr. Eric Burgess | 1954 | Phd | Widow | 4335.40 | 1 | 1 | Kinsale | Ireland | 9/8/2017 | ... | 1 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009578 | Miss Lillian Hodges | 1975 | Graduation | Divorced | 53398.00 | 0 | 1 | Kinsale | Ireland | 10/17/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009637 | Mr. Neil Burgess | 1959 | Graduation | Married | 55955.00 | 1 | 1 | Cork | Ireland | 11/24/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009662 | Mr. Joshua Hill | 1977 | Graduation | Married | 68715.00 | 0 | 1 | Cork | Ireland | 12/10/2017 | ... | 8 | 4 | 11 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009667 | Miss Hannah Black | 1971 | Phd | Married | 79507.00 | 0 | 1 | Killarney | Ireland | 12/16/2018 | ... | 10 | 3 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009672 | Miss Kylie Henderson | 1966 | Phd | Married | 62497.00 | 0 | 1 | Killarney | Ireland | 6/7/2019 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009702 | Mr. Frank Mackay | 1991 | Phd | Divorced | 37902.00 | 1 | 0 | Kinsale | Ireland | 10/4/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009708 | Mr. Phil Gibson | 1982 | Phd | Married | 54212.00 | 1 | 1 | Killarney | Ireland | 4/25/2019 | ... | 8 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009760 | Mr. Edward Sharp | 1969 | Graduation | Married | 86552.00 | 0 | 0 | Cork | Ireland | 9/20/2018 | ... | 10 | 6 | 9 | 3 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10009791 | Mr. Stephen McDonald | 1990 | Phd | Married | 49545.00 | 1 | 0 | Killarney | Ireland | 12/28/2017 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009796 | Mr. Warren Carr | 1962 | Phd | Married | 55332.00 | 0 | 1 | Cork | Ireland | 8/8/2018 | ... | 15 | 3 | 7 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009810 | Mr. Anthony North | 1978 | Phd | Single | 71869.00 | 1 | 1 | Killarney | Ireland | 4/22/2019 | ... | 11 | 3 | 5 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10009828 | Mr. Neil Gill | 1962 | Phd | Married | 85190.00 | 0 | 1 | Killarney | Ireland | 4/6/2019 | ... | 15 | 3 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009840 | Mr. Neil Simpson | 1956 | Phd | Married | 62855.00 | 0 | 1 | Kinsale | Ireland | 1/7/2019 | ... | 7 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009848 | Miss Amelia Allan | 1972 | Master | Divorced | 81443.00 | 0 | 1 | Killarney | Ireland | 2/12/2019 | ... | 16 | 5 | 7 | 7 | 0 | 1 | 0 | 1 | 0 | 0 |
| 10009853 | Mr. Tim Dickens | 1974 | Phd | Married | 63740.00 | 1 | 1 | Kinsale | Ireland | 9/24/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009861 | Mr. Joe Hill | 1961 | Phd | Single | 72667.00 | 0 | 1 | Kinsale | Ireland | 2/8/2019 | ... | 8 | 4 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009863 | Mr. Colin Metcalfe | 1972 | Master | Married | 50862.00 | 1 | 1 | Cork | Ireland | 4/22/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009884 | Mr. Kevin Hart | 1961 | Phd | Single | 43971.00 | 1 | 1 | Kinsale | Ireland | 3/8/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009897 | Mr. David Cornish | 1983 | Master | Married | 38822.00 | 1 | 0 | Kinsale | Ireland | 7/12/2018 | ... | 7 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009899 | Mr. Keith Metcalfe | 1974 | Master | Divorced | 53553.00 | 0 | 1 | Kinsale | Ireland | 2/23/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009904 | Mrs. Virginia Robertson | 1976 | Phd | Married | 41405.00 | 0 | 1 | Kinsale | Ireland | 5/20/2018 | ... | 12 | 6 | 3 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10009914 | Mr. Luke Young | 1986 | Phd | Married | 44627.00 | 1 | 0 | Cork | Ireland | 10/13/2017 | ... | 9 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009919 | Miss Amy Allan | 1975 | Phd | Single | 39004.00 | 1 | 1 | Kinsale | Ireland | 1/19/2018 | ... | 8 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009954 | Mr. Alan Metcalfe | 1979 | Phd | Married | 41063.00 | 1 | 1 | Cork | Ireland | 6/8/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10009969 | Mr. Tim Sharp | 1997 | Master | Married | 71126.00 | 0 | 0 | Killarney | Ireland | 1/21/2018 | ... | 8 | 5 | 5 | 8 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10009989 | Mr. John Greene | 1983 | Phd | Married | 29994.00 | 1 | 0 | Kinsale | Ireland | 8/21/2018 | ... | 6 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010007 | Miss Joanne Blake | 1974 | Phd | Married | 72732.00 | 0 | 1 | Kinsale | Ireland | 3/4/2019 | ... | 11 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010021 | Mr. Stephen Pullman | 1970 | Phd | Divorced | 75433.00 | 0 | 1 | Killarney | Ireland | 5/6/2018 | ... | 13 | 5 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010022 | Mrs. Elizabeth Scott | 1967 | Phd | Married | 59566.00 | 1 | 1 | Killarney | Ireland | 3/8/2019 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010027 | Mr. Ian Watson | 1961 | Phd | Married | 75669.00 | 0 | 1 | Killarney | Ireland | 8/14/2018 | ... | 13 | 4 | 9 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010048 | Miss Victoria Roberts | 1981 | Phd | Married | 52560.00 | 0 | 1 | Cork | Ireland | 2/22/2019 | ... | 7 | 2 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010049 | Mrs. Jasmine Bailey | 1966 | Phd | Single | 59387.00 | 0 | 1 | Cork | Ireland | 9/3/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010053 | Miss Yvonne Butler | 1989 | Phd | Married | 12591.00 | 1 | 0 | Kinsale | Ireland | 8/25/2017 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010066 | Mrs. Ava Knox | 1964 | Phd | Divorced | 77227.00 | 0 | 1 | Cork | Ireland | 3/14/2019 | ... | 7 | 3 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010077 | Mr. Warren Wilkins | 1973 | Phd | Married | 62710.00 | 1 | 1 | Cork | Ireland | 4/15/2018 | ... | 11 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010078 | Mrs. Kimberly Tucker | 1969 | Master | Married | 105755.00 | 0 | 1 | Killarney | Ireland | 10/24/2017 | ... | 16 | 6 | 6 | 6 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10010090 | Miss Sonia Hodges | 1964 | Phd | Married | NaN | 0 | 1 | Killarney | Ireland | 2/15/2018 | ... | 14 | 4 | 8 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010093 | Mr. Phil Metcalfe | 1961 | Phd | Married | 56307.00 | 1 | 1 | Cork | Ireland | 3/26/2019 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010112 | Mr. Nathan Duncan | 1970 | Phd | Married | 41539.00 | 0 | 1 | Cork | Ireland | 1/14/2019 | ... | 8 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010120 | Mr. David Bond | 1992 | Master | Single | 33729.00 | 1 | 0 | Cork | Ireland | 6/14/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010126 | Mr. Jake Sanderson | 1956 | Master | Married | 91292.00 | 0 | 1 | Killarney | Ireland | 3/30/2018 | ... | 11 | 3 | 8 | 9 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10010140 | Mr. Carl Morgan | 1967 | Phd | Married | 76095.00 | 0 | 1 | Cork | Ireland | 1/25/2019 | ... | 13 | 7 | 13 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010141 | Mr. Stephen Bower | 1962 | Phd | Divorced | 35190.00 | 0 | 1 | Kinsale | Ireland | 3/23/2019 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010150 | Mr. Dan Miller | 1976 | Phd | Married | 67598.00 | 2 | 1 | Killarney | Ireland | 7/1/2018 | ... | 8 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010164 | Mr. Matt Piper | 1960 | Phd | Married | 49240.00 | 0 | 1 | Killarney | Ireland | 5/18/2018 | ... | 11 | 4 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010183 | Mr. Austin Skinner | 1958 | Phd | Married | 97289.00 | 0 | 1 | Killarney | Ireland | 12/16/2017 | ... | 13 | 4 | 8 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010186 | Mr. Jake Berry | 1971 | Phd | Married | 50636.00 | 1 | 2 | Killarney | Ireland | 9/7/2017 | ... | 8 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010208 | Mr. Warren Burgess | 1979 | Phd | Married | 51695.00 | 1 | 0 | Kinsale | Ireland | 6/25/2019 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010223 | Mrs. Wanda Miller | 1980 | Graduation | Married | 20185.00 | 1 | 1 | Cork | Ireland | 5/6/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010224 | Mr. Eric Carr | 1964 | Master | Married | 58201.00 | 1 | 1 | Kinsale | Ireland | 8/3/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010228 | Mr. Dylan Bailey | 1980 | Phd | Divorced | 57826.00 | 1 | 1 | Kinsale | Ireland | 12/12/2017 | ... | 9 | 3 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010241 | Miss Penelope Mackenzie | 1966 | Phd | Married | 89651.00 | 0 | 2 | Killarney | Ireland | 12/11/2017 | ... | 17 | 4 | 11 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010242 | Mrs. Rebecca Peters | 1969 | Phd | Married | 70973.00 | 0 | 1 | Kinsale | Ireland | 12/27/2017 | ... | 14 | 4 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010272 | Mrs. Claire Nolan | 1986 | Graduation | Married | 22464.00 | 1 | 1 | Kinsale | Ireland | 6/24/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010317 | Mrs. Pippa Tucker | 1966 | Phd | Married | 86078.00 | 0 | 1 | Killarney | Ireland | 3/27/2019 | ... | 14 | 4 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010318 | Mr. Dylan Ross | 1957 | Graduation | Married | 61592.00 | 1 | 1 | Killarney | Ireland | 5/24/2019 | ... | 7 | 3 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010325 | Mr. David Rees | 1975 | Graduation | Married | 23531.00 | 1 | 0 | Cork | Ireland | 11/13/2018 | ... | 9 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010342 | Mr. Stewart Mills | 1990 | Phd | Married | 56795.00 | 1 | 0 | Cork | Ireland | 6/19/2019 | ... | 7 | 3 | 2 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010362 | Miss Diana Davies | 1969 | Phd | Married | 64961.00 | 0 | 1 | Kinsale | Ireland | 1/12/2018 | ... | 11 | 4 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010367 | Miss Grace Wilson | 1979 | 2n cycle | Single | 23880.00 | 1 | 0 | Cork | Ireland | 11/27/2017 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010374 | Miss Jasmine Graham | 1957 | Phd | Single | 56738.00 | 1 | 1 | Kinsale | Ireland | 1/13/2018 | ... | 8 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010391 | Mr. Jason Allan | 1957 | Phd | Single | 88445.00 | 0 | 1 | Kinsale | Ireland | 4/4/2018 | ... | 15 | 5 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010392 | Mr. Brian Thomson | 1977 | Phd | Single | 81139.00 | 1 | 1 | Kinsale | Ireland | 10/24/2017 | ... | 15 | 5 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010407 | Mr. Carl Rees | 1965 | Graduation | Single | 86257.00 | 0 | 0 | Cork | Ireland | 8/31/2017 | ... | 12 | 6 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010417 | Mrs. Abigail Smith | 1991 | Phd | Married | 30621.00 | 1 | 0 | Killarney | Ireland | 2/7/2019 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010418 | Mr. Kevin Walsh | 1976 | Phd | Married | 103509.00 | 0 | 0 | Killarney | Ireland | 3/11/2018 | ... | 10 | 4 | 6 | 2 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10010425 | Mr. Simon Hardacre | 1977 | Phd | Married | 50024.00 | 1 | 0 | Kinsale | Ireland | 5/13/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010442 | Mr. Julian Cornish | 1964 | Phd | Married | 54828.00 | 1 | 1 | Killarney | Ireland | 5/1/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010462 | Mr. Thomas Mitchell | 1962 | Master | Married | 66441.00 | 0 | 1 | Cork | Ireland | 5/17/2019 | ... | 9 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010465 | Mr. Matt Terry | 1981 | Graduation | Single | 57748.00 | 1 | 0 | Kinsale | Ireland | 2/7/2019 | ... | 8 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010506 | Miss Jane Wilkins | 1975 | Phd | Married | 49695.00 | 1 | 1 | Cork | Ireland | 5/2/2018 | ... | 10 | 3 | 2 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010530 | Miss Melanie Buckland | 1958 | Graduation | Single | 31761.00 | 1 | 1 | Cork | Ireland | 5/17/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010535 | Miss Deirdre MacLeod | 1965 | Master | Married | 62688.00 | 1 | 1 | Killarney | Ireland | 4/1/2019 | ... | 10 | 2 | 4 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010543 | Mr. Oliver Graham | 1976 | Phd | Married | 39076.00 | 2 | 1 | Kinsale | Ireland | 6/21/2019 | ... | 8 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010549 | Mr. Carl Ferguson | 1965 | Phd | Married | 71722.00 | 1 | 1 | Cork | Ireland | 9/5/2017 | ... | 15 | 3 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010560 | Miss Anne Powell | 1988 | Phd | Single | 41538.00 | 1 | 0 | Cork | Ireland | 12/14/2017 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010568 | Mr. Ian Paterson | 1974 | Phd | Married | 99858.00 | 0 | 1 | Kinsale | Ireland | 6/26/2019 | ... | 15 | 4 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010614 | Mr. Brian McDonald | 1962 | Master | Married | 52354.00 | 0 | 1 | Kinsale | Ireland | 5/14/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010622 | Mr. Nathan Quinn | 1971 | Phd | Divorced | 52366.00 | 1 | 0 | Cork | Ireland | 3/1/2019 | ... | 7 | 2 | 2 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010623 | Mr. Julian Bower | 1976 | Phd | Divorced | 21288.00 | 1 | 0 | Cork | Ireland | 9/15/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010627 | Mrs. Megan Springer | 1979 | Phd | Married | 55385.00 | 1 | 0 | Killarney | Ireland | 12/10/2017 | ... | 14 | 3 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010631 | Mr. Jonathan Metcalfe | 1991 | Phd | Married | 34281.00 | 1 | 0 | Killarney | Ireland | 3/1/2019 | ... | 9 | 3 | 2 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010638 | Mr. Simon Gill | 1967 | Phd | Married | 51585.00 | 1 | 1 | Kinsale | Ireland | 6/11/2019 | ... | 8 | 2 | 4 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010666 | Mr. Gavin Avery | 1965 | Phd | Married | 45877.00 | 1 | 1 | Cork | Ireland | 4/3/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010688 | Mr. Benjamin Payne | 1951 | Phd | Single | 50934.00 | 0 | 1 | Cork | Ireland | 3/30/2018 | ... | 11 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010692 | Mr. Sean Grant | 1969 | Phd | Married | 56630.00 | 1 | 2 | Killarney | Ireland | 2/18/2019 | ... | 8 | 3 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010731 | Mr. Joe Kerr | 1973 | Phd | Married | 57868.00 | 0 | 0 | Kinsale | Ireland | 7/27/2018 | ... | 9 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010736 | Mr. Joseph Pullman | 1975 | Phd | Divorced | 28488.00 | 1 | 0 | Killarney | Ireland | 5/15/2018 | ... | 8 | 3 | 2 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010744 | Mr. Simon Clark | 1990 | Phd | Married | 94537.00 | 0 | 0 | Killarney | Ireland | 1/15/2019 | ... | 9 | 10 | 7 | 1 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10010745 | Mr. Christopher Mackenzie | 1962 | Graduation | Married | 52795.00 | 1 | 1 | Kinsale | Ireland | 1/17/2018 | ... | 7 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010753 | Mr. James Edmunds | 1972 | Phd | Married | 54975.00 | 1 | 2 | Kinsale | Ireland | 2/7/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010770 | Mrs. Tracey Morrison | 1989 | Phd | Married | 53640.00 | 1 | 0 | Kinsale | Ireland | 12/4/2017 | ... | 10 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010774 | Mr. Nicholas Glover | 1974 | Phd | Married | 99791.00 | 0 | 0 | Kinsale | Ireland | 11/10/2018 | ... | 9 | 10 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010776 | Mr. Jason Clarkson | 1978 | Phd | Single | 42383.00 | 1 | 0 | Killarney | Ireland | 3/21/2019 | ... | 9 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10010797 | Mr. Austin Tucker | 1981 | Phd | Married | 61353.00 | 1 | 1 | Cork | Ireland | 4/14/2019 | ... | 7 | 2 | 3 | 7 | 1 | 0 | 0 | 0 | 1 | 0 |
| 10010813 | Mrs. Tracey Vaughan | 1984 | Master | Single | 26882.00 | 1 | 0 | Cork | Ireland | 11/9/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010817 | Mr. Neil Arnold | 1957 | Master | Married | 41581.00 | 1 | 1 | Killarney | Ireland | 9/5/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010818 | Mr. Joshua Jackson | 1958 | Phd | Widow | 49076.00 | 1 | 1 | Kinsale | Ireland | 12/21/2017 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010825 | Mr. Adrian Vaughan | 1983 | Graduation | Married | 71344.00 | 0 | 0 | Kinsale | Ireland | 1/14/2019 | ... | 8 | 7 | 11 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010830 | Mr. Andrew Simpson | 1983 | Phd | Divorced | 62852.00 | 1 | 1 | Cork | Ireland | 3/7/2019 | ... | 8 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010838 | Mr. Alexander Cameron | 1983 | Graduation | Married | 66428.00 | 1 | 1 | Kinsale | Ireland | 6/19/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010841 | Mrs. Megan Sanderson | 1980 | Phd | Single | 44759.00 | 1 | 1 | Kinsale | Ireland | 6/25/2019 | ... | 9 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010846 | Mr. Jason Rutherford | 1962 | Phd | Married | 30936.00 | 0 | 0 | Cork | Ireland | 5/11/2018 | ... | 7 | 2 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010851 | Miss Theresa Lyman | 1963 | Graduation | Single | 87154.00 | 0 | 1 | Killarney | Ireland | 3/7/2018 | ... | 10 | 5 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010854 | Miss Deirdre MacDonald | 1983 | Phd | Married | 78544.00 | 0 | 1 | Cork | Ireland | 2/10/2019 | ... | 12 | 4 | 9 | 5 | 0 | 1 | 0 | 0 | 1 | 0 |
| 10010872 | Mr. Julian Allan | 1956 | Phd | Divorced | 105196.00 | 0 | 0 | Cork | Ireland | 9/7/2018 | ... | 16 | 7 | 4 | 4 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10010875 | Mr. Nicholas Campbell | 1992 | Graduation | Married | 36082.00 | 1 | 0 | Kinsale | Ireland | 8/14/2018 | ... | 7 | 3 | 2 | 9 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010880 | Mr. Leonard Scott | 1986 | Phd | Married | 101777.00 | 0 | 0 | Kinsale | Ireland | 10/15/2017 | ... | 10 | 9 | 12 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010893 | Mr. Colin Lee | 1973 | Phd | Married | 52082.00 | 1 | 0 | Killarney | Ireland | 3/26/2019 | ... | 7 | 2 | 3 | 4 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10010912 | Mr. Connor Terry | 1970 | Phd | Married | 92663.00 | 0 | 2 | Killarney | Ireland | 3/6/2018 | ... | 15 | 7 | 13 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010914 | Mr. Stewart Clark | 1962 | Phd | Single | 59908.00 | 0 | 1 | Killarney | Ireland | 1/19/2019 | ... | 8 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010918 | Mr. Oliver Greene | 1968 | Phd | Married | 56391.00 | 1 | 1 | Cork | Ireland | 3/6/2018 | ... | 9 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010922 | Mr. Stephen Hemmings | 1958 | Phd | Married | 60275.00 | 2 | 1 | Kinsale | Ireland | 11/11/2017 | ... | 9 | 3 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10010958 | Miss Sue Graham | 1978 | Master | Single | 95758.00 | 0 | 1 | Kinsale | Ireland | 8/29/2018 | ... | 9 | 5 | 5 | 6 | 0 | 1 | 1 | 0 | 0 | 0 |
| 10010963 | Mrs. Sally Sharp | 1977 | Phd | Married | 110081.00 | 0 | 1 | Killarney | Ireland | 8/23/2017 | ... | 14 | 8 | 6 | 4 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10010964 | Mr. Keith MacDonald | 1981 | Phd | Married | 55001.00 | 1 | 0 | Kinsale | Ireland | 11/14/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010965 | Mrs. Jessica McLean | 1969 | Phd | Single | 52719.00 | 1 | 1 | Killarney | Ireland | 9/12/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010996 | Miss Theresa Springer | 1980 | Master | Married | 41200.00 | 1 | 0 | Kinsale | Ireland | 8/2/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10010998 | Mr. Keith Mills | 1989 | Phd | Married | 66058.00 | 2 | 0 | Kinsale | Ireland | 2/13/2018 | ... | 11 | 3 | 8 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011036 | Mr. Julian Hughes | 1970 | Phd | Divorced | 90817.00 | 0 | 1 | Kinsale | Ireland | 11/3/2017 | ... | 12 | 6 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011064 | Mr. Nathan Bell | 1983 | Phd | Married | 79364.00 | 0 | 1 | Kinsale | Ireland | 3/12/2018 | ... | 11 | 4 | 11 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011067 | Mr. Isaac Peake | 1979 | Phd | Married | 66943.00 | 0 | 1 | Killarney | Ireland | 7/17/2018 | ... | 12 | 8 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011068 | Mr. Owen Taylor | 1984 | Graduation | Married | 56334.00 | 2 | 0 | Cork | Ireland | 2/13/2019 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011069 | Mr. Jason Kerr | 1973 | Phd | Single | 74391.00 | 0 | 1 | Kinsale | Ireland | 1/16/2019 | ... | 13 | 3 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011075 | Mr. Julian Ogden | 1971 | Phd | Divorced | 80605.00 | 0 | 1 | Cork | Ireland | 3/7/2019 | ... | 14 | 3 | 8 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011085 | Mr. Boris Piper | 1960 | Graduation | Married | 31710.00 | 1 | 1 | Kinsale | Ireland | 7/17/2018 | ... | 7 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10011112 | Miss Karen Churchill | 1964 | Phd | Married | 63912.00 | 0 | 1 | Kinsale | Ireland | 10/13/2018 | ... | 12 | 4 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011133 | Mrs. Theresa Gibson | 1977 | Phd | Married | 67488.00 | 0 | 1 | Cork | Ireland | 4/19/2019 | ... | 10 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011157 | Mr. Adrian Welch | 1963 | Phd | Divorced | 76712.00 | 1 | 1 | Cork | Ireland | 4/27/2019 | ... | 10 | 3 | 6 | 5 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10011163 | Mr. Robert Harris | 1970 | Phd | Married | 54752.00 | 1 | 2 | Kinsale | Ireland | 12/1/2018 | ... | 8 | 4 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10011179 | Mrs. Julia Clark | 1974 | Phd | Married | 121065.00 | 0 | 0 | Kinsale | Ireland | 10/28/2018 | ... | 13 | 9 | 4 | 2 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10011181 | Mr. Sean Kelly | 1977 | Phd | Married | 38817.00 | 1 | 0 | Cork | Ireland | 1/24/2018 | ... | 7 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011193 | Mr. Simon Clarkson | 1982 | Phd | Married | 46682.00 | 1 | 0 | Kinsale | Ireland | 4/14/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011195 | Mr. Gordon Payne | 1961 | Phd | Married | 48616.00 | 0 | 0 | Killarney | Ireland | 11/5/2018 | ... | 12 | 4 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011197 | Miss Karen Fisher | 1951 | Phd | Married | 50177.00 | 1 | 1 | Killarney | Ireland | 9/21/2017 | ... | 7 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011220 | Mrs. Una Anderson | 1983 | Phd | Divorced | 113895.00 | 0 | 0 | Killarney | Ireland | 10/14/2017 | ... | 10 | 9 | 10 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011260 | Mrs. Joan Cameron | 1982 | Phd | Married | 53086.00 | 1 | 0 | Killarney | Ireland | 12/18/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011261 | Mr. Eric Black | 1975 | Master | Married | 45658.00 | 1 | 1 | Cork | Ireland | 10/3/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011262 | Mrs. Karen Hardacre | 1963 | Phd | Single | 42164.00 | 1 | 1 | Killarney | Ireland | 12/18/2017 | ... | 10 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011266 | Mr. Edward Knox | 1975 | Phd | Married | 32811.00 | 1 | 0 | Killarney | Ireland | 10/3/2017 | ... | 8 | 3 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011271 | Mr. Victor Wilkins | 1980 | Phd | Married | 38838.00 | 1 | 0 | Killarney | Ireland | 5/2/2019 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011274 | Mr. Christopher Hunter | 1993 | Phd | Married | 79799.00 | 0 | 0 | Kinsale | Ireland | 7/9/2018 | ... | 12 | 9 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011288 | Mr. Richard Ball | 1961 | Phd | Married | 80266.00 | 0 | 1 | Kinsale | Ireland | 1/3/2018 | ... | 12 | 4 | 11 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011291 | Mr. Kevin Russell | 1977 | Phd | Married | 32819.00 | 1 | 0 | Cork | Ireland | 11/25/2018 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011292 | Mr. Jake Metcalfe | 1975 | Phd | Married | 70195.00 | 0 | 1 | Kinsale | Ireland | 5/23/2018 | ... | 13 | 4 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011295 | Mr. Richard MacDonald | 1982 | Phd | Divorced | 31180.00 | 1 | 0 | Cork | Ireland | 1/12/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011336 | Mr. Leonard Ince | 1956 | Phd | Married | 61640.00 | 0 | 1 | Kinsale | Ireland | 5/21/2019 | ... | 7 | 3 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011361 | Mr. Justin Robertson | 1962 | Phd | Divorced | 94531.00 | 0 | 2 | Kinsale | Ireland | 7/13/2018 | ... | 15 | 7 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011362 | Mr. Justin Walker | 1959 | Phd | Married | 8090.10 | 0 | 1 | Kinsale | Ireland | 12/31/2018 | ... | 2 | 0 | 1 | 14 | 0 | 1 | 0 | 0 | 1 | 0 |
| 10011387 | Mr. Andrew Poole | 1977 | Phd | Married | 56984.00 | 0 | 1 | Killarney | Ireland | 4/29/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011393 | Mr. Jason Terry | 1979 | Phd | Married | 26276.00 | 1 | 0 | Kinsale | Ireland | 3/26/2018 | ... | 8 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011403 | Mr. Sebastian Paige | 1977 | Phd | Married | 49509.00 | 0 | 1 | Cork | Ireland | 5/4/2019 | ... | 9 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011407 | Mr. Jacob Harris | 1966 | Phd | Married | 57806.00 | 1 | 1 | Kinsale | Ireland | 6/23/2019 | ... | 10 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011411 | Mr. Blake Wallace | 1956 | Phd | Single | 82978.00 | 0 | 0 | Killarney | Ireland | 4/1/2019 | ... | 14 | 7 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011440 | Mr. Ryan Lewis | 1991 | Graduation | Married | 51203.00 | 1 | 0 | Kinsale | Ireland | 9/12/2017 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011465 | Miss Maria Bell | 1974 | Phd | Single | 31862.00 | 0 | 0 | Killarney | Ireland | 1/1/2019 | ... | 7 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10011484 | Mr. Kevin Nash | 1992 | Phd | Single | 4044.90 | 1 | 0 | Killarney | Ireland | 11/10/2017 | ... | 28 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011489 | Mr. Tim Abraham | 1982 | Phd | Married | 70695.00 | 1 | 1 | Cork | Ireland | 11/11/2018 | ... | 7 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011506 | Mr. Michael Sutherland | 1988 | Phd | Single | 50207.00 | 1 | 0 | Killarney | Ireland | 1/9/2019 | ... | 9 | 2 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011518 | Miss Lillian Peters | 1971 | Phd | Married | 58870.00 | 1 | 0 | Killarney | Ireland | 1/9/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011544 | Mr. Alan Lee | 1957 | Master | Married | 95806.00 | 0 | 1 | Kinsale | Ireland | 1/17/2018 | ... | 11 | 7 | 11 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011563 | Mr. Adam Churchill | 1965 | Phd | Married | 72621.00 | 1 | 1 | Kinsale | Ireland | 2/10/2019 | ... | 7 | 2 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011566 | Mrs. Fiona Butler | 1978 | Phd | Married | 76992.00 | 0 | 1 | Killarney | Ireland | 11/13/2018 | ... | 15 | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011568 | Miss Jessica Jackson | 1986 | Phd | Single | 31547.00 | 1 | 0 | Killarney | Ireland | 12/5/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011591 | Mr. Joshua Bond | 1976 | Master | Married | 60917.00 | 0 | 1 | Cork | Ireland | 1/26/2019 | ... | 9 | 3 | 8 | 4 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10011603 | Mrs. Carol Sharp | 1971 | Phd | Single | 47508.00 | 0 | 1 | Killarney | Ireland | 12/15/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011671 | Mrs. Sophie Hodges | 1988 | Phd | Single | 24134.00 | 1 | 0 | Killarney | Ireland | 6/18/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011676 | Miss Elizabeth Black | 1984 | Phd | Single | 53465.00 | 1 | 0 | Killarney | Ireland | 4/27/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011692 | Mr. Frank Ferguson | 1973 | Phd | Married | 92377.00 | 0 | 1 | Kinsale | Ireland | 6/15/2019 | ... | 13 | 5 | 13 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011695 | Mr. Evan May | 1983 | Phd | Married | 80073.00 | 0 | 1 | Cork | Ireland | 2/23/2019 | ... | 13 | 4 | 5 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10011699 | Mr. Nathan Davies | 1980 | Phd | Married | 44749.00 | 1 | 1 | Killarney | Ireland | 6/26/2019 | ... | 8 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011712 | Mrs. Amelia Vaughan | 1957 | Master | Married | 56162.00 | 0 | 1 | Cork | Ireland | 7/16/2018 | ... | 12 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011723 | Mr. David Kerr | 1978 | Phd | Married | 47721.00 | 1 | 1 | Killarney | Ireland | 5/7/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011740 | Mrs. Dorothy Jones | 1959 | Phd | Single | 48184.00 | 1 | 1 | Cork | Ireland | 7/17/2018 | ... | 9 | 3 | 4 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10011741 | Mr. Connor Jones | 1963 | Phd | Married | 54112.00 | 2 | 1 | Kinsale | Ireland | 3/21/2019 | ... | 8 | 2 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011756 | Mr. Jake Russell | 1981 | Phd | Married | 34361.00 | 1 | 0 | Cork | Ireland | 1/2/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011757 | Mr. Brian Anderson | 1978 | Master | Married | 76150.00 | 1 | 1 | Kinsale | Ireland | 2/7/2018 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011761 | Mr. Dylan Quinn | 1968 | Phd | Married | 43662.00 | 1 | 1 | Killarney | Ireland | 6/30/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011771 | Mr. Paul Paterson | 1965 | Phd | Married | 49467.00 | 2 | 2 | Kinsale | Ireland | 5/4/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011785 | Mr. Blake Manning | 1962 | Phd | Single | 110254.00 | 0 | 0 | Kinsale | Ireland | 4/11/2018 | ... | 12 | 11 | 10 | 3 | 0 | 1 | 1 | 1 | 1 | 0 |
| 10011807 | Mrs. Angela Vaughan | 1969 | Phd | Married | 45962.00 | 0 | 1 | Killarney | Ireland | 6/12/2019 | ... | 9 | 3 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011811 | Mr. Max Forsyth | 1972 | Phd | Married | NaN | 0 | 1 | Cork | Ireland | 4/8/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011816 | Mr. Jonathan Johnston | 1972 | Phd | Married | 67408.00 | 1 | 1 | Cork | Ireland | 3/6/2019 | ... | 12 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011819 | Miss Jan Pullman | 1986 | Phd | Married | 35468.00 | 1 | 0 | Cork | Ireland | 10/14/2017 | ... | 8 | 2 | 3 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011823 | Mr. Alexander Berry | 1985 | Phd | Married | 38438.00 | 1 | 0 | Cork | Ireland | 10/23/2018 | ... | 9 | 3 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011831 | Miss Jane Forsyth | 1954 | Phd | Divorced | 60851.00 | 1 | 1 | Killarney | Ireland | 1/7/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011842 | Mr. Austin Jones | 1955 | Phd | Widow | 40762.00 | 0 | 0 | Kinsale | Ireland | 11/29/2018 | ... | 8 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011863 | Mr. Gavin Pullman | 1982 | Phd | Married | 66958.00 | 0 | 1 | Killarney | Ireland | 5/19/2018 | ... | 12 | 3 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011865 | Mr. Alan Vance | 1979 | Phd | Married | 77696.00 | 0 | 1 | Killarney | Ireland | 3/29/2018 | ... | 16 | 4 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011866 | Mr. Jason Hughes | 1969 | Phd | Married | 42381.00 | 0 | 1 | Kinsale | Ireland | 12/6/2017 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011868 | Mr. Jack Sharp | 1982 | Phd | Married | 106031.00 | 0 | 0 | Cork | Ireland | 4/30/2019 | ... | 8 | 10 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011871 | Mr. Colin Howard | 1967 | Graduation | Married | 66324.00 | 1 | 1 | Kinsale | Ireland | 9/16/2018 | ... | 7 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011885 | Mr. Joshua Reid | 1988 | Phd | Married | 37521.00 | 1 | 0 | Cork | Ireland | 4/30/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011891 | Mr. Christopher Wright | 1980 | 2n cycle | Married | 30989.00 | 1 | 0 | Killarney | Ireland | 1/5/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011898 | Mr. Kevin Bell | 1976 | Phd | Single | 88452.00 | 0 | 1 | Kinsale | Ireland | 4/14/2019 | ... | 14 | 5 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011899 | Mr. Jack McLean | 1959 | Graduation | Married | 57511.00 | 1 | 1 | Cork | Ireland | 9/2/2017 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011904 | Mr. Nathan Parsons | 1958 | Phd | Married | 113174.00 | 0 | 0 | Kinsale | Ireland | 2/3/2019 | ... | 11 | 12 | 13 | 2 | 1 | 0 | 1 | 1 | 0 | 0 |
| 10011917 | Mr. Adam Hodges | 1979 | Phd | Married | 121562.00 | 0 | 0 | Kinsale | Ireland | 3/28/2018 | ... | 10 | 5 | 7 | 3 | 1 | 0 | 1 | 1 | 1 | 0 |
| 10011921 | Mr. John Bailey | 1962 | Phd | Single | NaN | 1 | 1 | Killarney | Ireland | 4/9/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011931 | Mr. Warren Skinner | 1947 | Phd | Widow | 103199.00 | 0 | 0 | Killarney | Ireland | 3/1/2019 | ... | 9 | 11 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011934 | Mr. Andrew Lyman | 1987 | Master | Married | 173422.05 | 1 | 0 | Cork | Ireland | 10/5/2017 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011949 | Mr. William Mitchell | 1980 | Phd | Married | 164143.95 | 0 | 1 | Killarney | Ireland | 5/24/2019 | ... | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011957 | Mr. Eric Vaughan | 1981 | Phd | Single | 71382.00 | 1 | 1 | Killarney | Ireland | 1/31/2019 | ... | 8 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011967 | Mrs. Anna Graham | 1979 | Phd | Single | 70040.00 | 0 | 1 | Cork | Ireland | 4/21/2018 | ... | 11 | 3 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10011990 | Mr. Ryan Walker | 1983 | Graduation | Married | 17865.00 | 1 | 0 | Cork | Ireland | 11/9/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10012001 | Miss Elizabeth Welch | 1981 | Master | Single | 39053.00 | 1 | 0 | Kinsale | Ireland | 5/29/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012004 | Miss Alison Fisher | 1970 | Phd | Married | 59546.00 | 0 | 1 | Kinsale | Ireland | 11/7/2018 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012012 | Mrs. Lillian Gray | 1972 | Phd | Married | 64439.00 | 0 | 1 | Kinsale | Ireland | 11/16/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012024 | Mrs. Joanne Dyer | 1982 | Graduation | Married | 22623.00 | 1 | 0 | Kinsale | Ireland | 10/29/2018 | ... | 7 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012025 | Mr. Tim Churchill | 1997 | Graduation | Single | 89857.00 | 0 | 0 | Kinsale | Ireland | 4/29/2018 | ... | 10 | 9 | 12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 |
| 10012027 | Mrs. Fiona Wallace | 1981 | Phd | Married | 58148.00 | 1 | 0 | Cork | Ireland | 6/29/2018 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012043 | Mr. Jason White | 1965 | Phd | Married | 72498.00 | 0 | 2 | Kinsale | Ireland | 2/16/2018 | ... | 14 | 5 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012064 | Mr. Neil Stewart | 1977 | Phd | Married | 30788.00 | 1 | 1 | Cork | Ireland | 5/29/2019 | ... | 8 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012070 | Mr. Trevor Miller | 1976 | Phd | Married | 56804.00 | 1 | 1 | Killarney | Ireland | 3/9/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012073 | Miss Gabrielle Vaughan | 1956 | Graduation | Divorced | 72455.00 | 0 | 1 | Killarney | Ireland | 4/2/2018 | ... | 12 | 5 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012083 | Mr. Benjamin Mitchell | 1959 | Phd | Married | 86735.00 | 0 | 1 | Kinsale | Ireland | 3/8/2018 | ... | 12 | 8 | 13 | 7 | 0 | 1 | 1 | 1 | 1 | 1 |
| 10012085 | Mr. Nathan Hudson | 1990 | Phd | Married | 3092.90 | 1 | 0 | Cork | Ireland | 6/24/2018 | ... | 1 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012091 | Mr. Adrian Martin | 1964 | Master | Widow | 71514.00 | 0 | 1 | Kinsale | Ireland | 6/16/2018 | ... | 9 | 3 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012096 | Mr. Warren Buckland | 1984 | Phd | Single | 26974.00 | 1 | 0 | Killarney | Ireland | 11/19/2017 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10012133 | Mrs. Jane Duncan | 1959 | Phd | Married | 71578.00 | 1 | 1 | Cork | Ireland | 2/24/2018 | ... | 9 | 3 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012139 | Mr. Kevin Payne | 1961 | Phd | Married | 81270.00 | 0 | 1 | Cork | Ireland | 12/1/2018 | ... | 10 | 3 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012147 | Mr. Stephen Campbell | 1990 | Phd | Married | 45859.00 | 1 | 0 | Cork | Ireland | 11/16/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012168 | Mr. Harry Bond | 1975 | Phd | Divorced | 73615.00 | 0 | 1 | Killarney | Ireland | 11/24/2017 | ... | 10 | 4 | 11 | 8 | 0 | 1 | 0 | 0 | 1 | 0 |
| 10012179 | Mr. Peter Ince | 1986 | Phd | Single | 37883.00 | 1 | 0 | Kinsale | Ireland | 3/5/2019 | ... | 9 | 3 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012184 | Mr. Cameron Murray | 1975 | Phd | Married | 50927.00 | 1 | 1 | Cork | Ireland | 4/19/2019 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012196 | Mr. Sam Ross | 1980 | Master | Married | 45783.00 | 2 | 1 | Kinsale | Ireland | 6/3/2018 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012202 | Mr. Adam Roberts | 1960 | Phd | Married | 52209.00 | 1 | 1 | Kinsale | Ireland | 2/22/2018 | ... | 7 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012208 | Mr. Jacob Lewis | 1974 | Phd | Married | 30268.00 | 1 | 0 | Kinsale | Ireland | 9/6/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012218 | Mrs. Amelia James | 1990 | Phd | Married | 30092.00 | 1 | 0 | Kinsale | Ireland | 4/4/2019 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012220 | Mrs. Carol Fraser | 1963 | Graduation | Married | 61185.00 | 0 | 1 | Killarney | Ireland | 7/3/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012239 | Mr. Matt Parr | 1985 | Phd | Divorced | 34628.00 | 1 | 0 | Kinsale | Ireland | 11/8/2018 | ... | 8 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012260 | Mrs. Audrey Poole | 1967 | Phd | Widow | 102420.00 | 0 | 0 | Killarney | Ireland | 1/27/2018 | ... | 13 | 5 | 5 | 5 | 0 | 1 | 1 | 1 | 0 | 0 |
| 10012261 | Mr. Jack Ross | 1964 | Graduation | Married | 116740.00 | 0 | 0 | Cork | Ireland | 2/10/2018 | ... | 11 | 9 | 7 | 3 | 0 | 0 | 1 | 1 | 0 | 0 |
| 10012277 | Mr. Piers Gill | 1990 | Master | Single | 170568.15 | 1 | 0 | Cork | Ireland | 12/5/2018 | ... | 29 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012285 | Mr. Luke Thomson | 1970 | Phd | Single | 141835.65 | 1 | 1 | Kinsale | Ireland | 12/3/2018 | ... | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012319 | Miss Ella Parsons | 1952 | Phd | Widow | 39462.00 | 0 | 1 | Killarney | Ireland | 5/10/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012322 | Mr. Lucas MacDonald | 1976 | Phd | Married | 52685.00 | 0 | 1 | Killarney | Ireland | 5/25/2018 | ... | 8 | 4 | 3 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012327 | Mrs. Ava Rees | 1955 | Phd | Married | 50422.00 | 1 | 1 | Cork | Ireland | 6/23/2018 | ... | 7 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012345 | Mrs. Carolyn Arnold | 1973 | Phd | Divorced | 36212.00 | 1 | 1 | Kinsale | Ireland | 3/30/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012354 | Mr. Liam Greene | 1966 | Phd | Single | 53247.00 | 0 | 1 | Cork | Ireland | 5/28/2019 | ... | 10 | 4 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012366 | Mr. Colin Sharp | 1987 | Phd | Single | 48450.00 | 1 | 0 | Kinsale | Ireland | 5/3/2018 | ... | 14 | 5 | 9 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012367 | Mr. Blake Greene | 1973 | Graduation | Married | 47241.00 | 0 | 1 | Kinsale | Ireland | 4/25/2019 | ... | 7 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012372 | Mr. Robert Clarkson | 1964 | Phd | Married | 47646.00 | 1 | 1 | Kinsale | Ireland | 2/22/2019 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012390 | Mr. Dylan Jones | 1971 | Phd | Divorced | 45958.00 | 2 | 1 | Kinsale | Ireland | 5/5/2019 | ... | 7 | 3 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012396 | Miss Zoe Rutherford | 1985 | Phd | Married | 108459.00 | 0 | 0 | Cork | Ireland | 6/22/2019 | ... | 12 | 7 | 9 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| 10012399 | Mr. Blake Watson | 1954 | Phd | Married | 51520.00 | 0 | 1 | Kinsale | Ireland | 12/10/2017 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012400 | Miss Heather Young | 1971 | Phd | Married | 47296.00 | 0 | 1 | Kinsale | Ireland | 4/21/2018 | ... | 10 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012409 | Mr. Justin Jackson | 1982 | Master | Married | 25057.00 | 1 | 0 | Killarney | Ireland | 1/13/2018 | ... | 8 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012415 | Mr. Luke Lewis | 1978 | Phd | Married | 68957.00 | 1 | 2 | Cork | Ireland | 7/27/2018 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012421 | Miss Sonia Springer | 1978 | Phd | Married | 63620.00 | 0 | 1 | Cork | Ireland | 4/10/2018 | ... | 16 | 4 | 10 | 8 | 0 | 0 | 0 | 0 | 1 | 0 |
| 10012428 | Mr. Boris Morgan | 1955 | Phd | Widow | 81956.00 | 0 | 1 | Killarney | Ireland | 12/10/2017 | ... | 11 | 4 | 10 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012434 | Mr. Matt Ross | 1971 | Phd | Single | 47524.00 | 1 | 1 | Kinsale | Ireland | 7/30/2018 | ... | 7 | 2 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012439 | Mr. Eric Rees | 1982 | Phd | Married | 38067.00 | 1 | 0 | Kinsale | Ireland | 6/18/2018 | ... | 7 | 2 | 2 | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012440 | Mr. Richard Buckland | 1974 | Phd | Married | 97046.00 | 0 | 1 | Killarney | Ireland | 1/6/2018 | ... | 14 | 6 | 9 | 5 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10012455 | Mr. Sebastian Gill | 1973 | Master | Single | 73709.00 | 0 | 1 | Killarney | Ireland | 6/6/2018 | ... | 17 | 3 | 7 | 9 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10012478 | Mr. Jason Metcalfe | 1976 | Phd | Married | 94954.00 | 1 | 1 | Killarney | Ireland | 2/24/2018 | ... | 9 | 4 | 8 | 8 | 1 | 0 | 0 | 0 | 1 | 0 |
| 10012511 | Mr. Anthony Ogden | 1964 | Phd | Divorced | 86891.00 | 0 | 0 | Cork | Ireland | 1/15/2019 | ... | 16 | 6 | 13 | 6 | 1 | 0 | 1 | 1 | 1 | 0 |
| 10012546 | Mr. Julian Poole | 1986 | Graduation | Single | 33998.00 | 1 | 1 | Killarney | Ireland | 6/17/2018 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012572 | Mr. Owen Reid | 1982 | Phd | Married | 42368.00 | 1 | 0 | Kinsale | Ireland | 4/1/2019 | ... | 7 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012579 | Mr. Nicholas Blake | 1969 | Master | Married | 66688.00 | 1 | 1 | Killarney | Ireland | 6/11/2019 | ... | 6 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012604 | Mr. Evan Wilkins | 1957 | Phd | Single | 76559.00 | 0 | 1 | Cork | Ireland | 6/26/2018 | ... | 11 | 3 | 6 | 7 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10012608 | Mr. Alan Mills | 1978 | Master | Widow | 31411.00 | 0 | 1 | Killarney | Ireland | 8/9/2017 | ... | 7 | 3 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012619 | Mr. Simon Piper | 1971 | Phd | Single | 40150.00 | 1 | 0 | Kinsale | Ireland | 10/12/2017 | ... | 8 | 2 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012626 | Mr. Joseph Metcalfe | 1983 | Phd | Married | 31520.00 | 1 | 0 | Kinsale | Ireland | 7/30/2018 | ... | 8 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012627 | Mr. Lucas Gill | 1977 | Phd | Married | 49419.00 | 1 | 1 | Cork | Ireland | 5/25/2018 | ... | 7 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012635 | Mr. Austin Hunter | 1958 | Graduation | Married | 56910.00 | 1 | 1 | Cork | Ireland | 11/2/2018 | ... | 8 | 2 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012644 | Mr. Thomas Scott | 1953 | Phd | Married | 65423.00 | 0 | 1 | Cork | Ireland | 3/14/2018 | ... | 12 | 6 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012665 | Mrs. Angela Robertson | 1975 | Phd | Married | 53327.00 | 1 | 1 | Kinsale | Ireland | 5/23/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012673 | Mr. Evan Smith | 1958 | Phd | Single | 63453.00 | 0 | 1 | Killarney | Ireland | 12/17/2018 | ... | 10 | 3 | 6 | 6 | 1 | 0 | 0 | 1 | 1 | 0 |
| 10012689 | Mr. Cameron Walker | 1979 | Phd | Married | 71082.00 | 0 | 0 | Cork | Ireland | 8/10/2018 | ... | 11 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012695 | Miss Amelia Wilkins | 1961 | Master | Married | 58795.00 | 1 | 1 | Kinsale | Ireland | 1/30/2019 | ... | 7 | 2 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012699 | Mrs. Emma Cameron | 1977 | Phd | Married | 79003.00 | 0 | 1 | Kinsale | Ireland | 7/31/2017 | ... | 13 | 6 | 11 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012727 | Mr. Eric Hart | 1967 | Graduation | Married | 35101.00 | 0 | 0 | Killarney | Ireland | 9/5/2018 | ... | 6 | 2 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 |
| 10012759 | Mr. Carl Ross | 1965 | Phd | Single | 69221.00 | 0 | 1 | Cork | Ireland | 2/14/2019 | ... | 11 | 4 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012760 | Miss Jennifer Black | 1975 | Phd | Married | 49954.00 | 1 | 1 | Cork | Ireland | 9/20/2018 | ... | 7 | 2 | 2 | 5 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012796 | Mr. Christian King | 1979 | Phd | Widow | 106341.00 | 0 | 0 | Killarney | Ireland | 11/17/2018 | ... | 8 | 11 | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012804 | Mr. Eric North | 1956 | Phd | Married | 67649.00 | 0 | 1 | Killarney | Ireland | 5/12/2018 | ... | 8 | 2 | 4 | 6 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10012859 | Miss Sue Anderson | 1970 | Phd | Married | 61976.00 | 1 | 1 | Killarney | Ireland | 12/16/2018 | ... | 9 | 2 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012864 | Miss Rachel Oliver | 1978 | Phd | Married | 37199.00 | 1 | 1 | Cork | Ireland | 8/21/2018 | ... | 9 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012874 | Miss Lisa Chapman | 1977 | Phd | Single | 71331.00 | 0 | 1 | Kinsale | Ireland | 1/7/2019 | ... | 11 | 4 | 3 | 7 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012896 | Mr. Jason Lambert | 1961 | Phd | Married | 50511.00 | 1 | 1 | Cork | Ireland | 12/29/2018 | ... | 8 | 3 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012911 | Mr. Austin Bailey | 1979 | Graduation | Married | 28473.00 | 1 | 0 | Kinsale | Ireland | 8/21/2018 | ... | 8 | 3 | 2 | 6 | 1 | 0 | 0 | 0 | 0 | 0 |
| 10012919 | Mrs. Grace Davidson | 1962 | Phd | Married | 50438.00 | 0 | 1 | Kinsale | Ireland | 4/26/2018 | ... | 7 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012968 | Mr. Sam Rees | 1985 | Phd | Married | 36176.00 | 1 | 0 | Kinsale | Ireland | 11/15/2017 | ... | 7 | 3 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012986 | Mr. Colin Gibson | 1950 | Phd | Married | 64614.00 | 0 | 0 | Cork | Ireland | 12/1/2018 | ... | 9 | 4 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012990 | Mr. Dylan Hill | 1959 | Graduation | Married | 59725.00 | 0 | 2 | Kinsale | Ireland | 6/9/2019 | ... | 8 | 2 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10012995 | Mr. John Johnston | 1972 | Phd | Married | 102557.00 | 0 | 2 | Killarney | Ireland | 9/18/2017 | ... | 8 | 4 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013001 | Mr. Nicholas Parsons | 1991 | Phd | Married | 187314.45 | 1 | 0 | Cork | Ireland | 1/29/2019 | ... | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013006 | Miss Audrey Davies | 1989 | Phd | Married | 28253.00 | 1 | 0 | Killarney | Ireland | 12/28/2018 | ... | 8 | 3 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013023 | Miss Vanessa Black | 1962 | Graduation | Married | 86116.00 | 1 | 1 | Killarney | Ireland | 6/23/2019 | ... | 7 | 3 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013024 | Miss Joanne Howard | 1981 | Graduation | Married | 50353.00 | 1 | 0 | Cork | Ireland | 2/8/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013030 | Mrs. Yvonne Slater | 1979 | Graduation | Married | 61469.00 | 1 | 1 | Killarney | Ireland | 3/11/2019 | ... | 7 | 2 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013039 | Mrs. Angela Piper | 1953 | Phd | Widow | 93674.00 | 0 | 1 | Cork | Ireland | 6/8/2018 | ... | 14 | 6 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013052 | Mr. Adam Dyer | 1968 | Phd | Married | 6267.50 | 1 | 1 | Kinsale | Ireland | 6/27/2019 | ... | 1 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10013058 | Mr. Alan Lambert | 1977 | Graduation | Married | 74348.00 | 0 | 1 | Killarney | Ireland | 4/25/2019 | ... | 10 | 3 | 3 | 6 | 0 | 1 | 0 | 0 | 0 | 0 |
| 10013064 | Mr. Eric Davies | 1967 | Phd | Married | 104990.00 | 0 | 1 | Cork | Ireland | 3/1/2018 | ... | 8 | 7 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
806 rows × 28 columns
df_treated .fillna({
'MntHouseKeeping': df_treated ['MntHouseKeeping'].median(),
'MntWellness_&_Beauty': df_treated ['MntWellness_&_Beauty'].median(),
'Income' : df_treated ['Income'].median(),
}, inplace = True)
df_treated .isna().sum()
Name 1 Year_Birth 0 Education 0 Marital_Status 0 Income 0 Kidhome 0 Teenhome 0 Region 0 Country 0 Dt_Customer 0 Recency 0 MntGroceries 0 MntStationery 0 MntHouseKeeping 0 MntWellness_&_Beauty 0 MntElectronics_&_Supplies 0 MntLimitedEdition 0 NumDealsPurchases 0 NumWebPurchases 0 NumCatalogPurchases 0 NumStorePurchases 0 NumWebVisitsMonth 0 AcceptedCmp1 0 AcceptedCmp2 0 AcceptedCmp3 0 AcceptedCmp4 0 AcceptedCmp5 0 Complain 0 dtype: int64
from datetime import date
df_treated ['Age'] = date.today().year - df_treated ['Year_Birth']
pd.set_option('display.max_rows', None)
df_treated ['Mnt'] = df_treated ['MntGroceries'] + df_treated ['MntStationery'] + df_treated ['MntHouseKeeping'] + df_treated ['MntWellness_&_Beauty'] + df_treated ['MntElectronics_&_Supplies'] + df_treated ['MntLimitedEdition']
df_treated ['freq'] = df_treated ['NumWebPurchases'] + df_treated ['NumCatalogPurchases'] + df_treated ['NumStorePurchases']
df_treated ['MntFrq'] = df_treated ['Mnt']/df_treated ['freq']
df_treated ['Num_Cmp_acepted'] = df_treated ['AcceptedCmp1'] + df_treated ['AcceptedCmp2'] + df_treated ['AcceptedCmp3'] + df_treated ['AcceptedCmp4'] + df_treated ['AcceptedCmp5']
df_treated ['Num_Cmp_acepted'].value_counts(ascending=True)
4 15 3 88 2 204 1 708 0 3794 Name: Num_Cmp_acepted, dtype: int64
#Check the median of costumers genders , to fill entry without name
df_aux_3 = df_treated .copy ()
df_aux_3['Gender'] = np.where(df_aux_3['Name'].str.startswith('Mr.' ), "Male", "Female")
df_aux_3['Gender'].value_counts(ascending=True)
Female 1578 Male 3231 Name: Gender, dtype: int64
df_treated [['Name']] =df_treated [['Name']] .fillna(value='Mr. John')
df_treated .describe(include=[object]).T
| count | unique | top | freq | |
|---|---|---|---|---|
| Name | 4809 | 4809 | Mr. Christopher Short | 1 |
| Education | 4809 | 4 | Phd | 2582 |
| Marital_Status | 4809 | 4 | Married | 3237 |
| Region | 4809 | 3 | Kinsale | 1630 |
| Country | 4809 | 3 | Ireland | 4805 |
| Dt_Customer | 4809 | 700 | 6/24/2018 | 18 |
df_treated ['Gender'] = np.where(df_treated ['Name'].str.startswith('Mr.' ), "Male", "Female")
df_treated ['Gender'].value_counts(ascending=True)
Female 1578 Male 3231 Name: Gender, dtype: int64
df_treated ['Dependents'] = df_treated ['Kidhome'] + df_treated ['Teenhome']
del df_treated ['Year_Birth']
del df_treated ['Country']
df_treated ['age_bins'] = pd.cut(x=df_treated ['Age'], bins=[10, 20, 30, 40,50,60,70,80])
df_treated .head(n=5)
| Name | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Dt_Customer | Recency | MntGroceries | ... | AcceptedCmp5 | Complain | Age | Mnt | freq | MntFrq | Num_Cmp_acepted | Gender | Dependents | age_bins | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | Mr. Adam Glover | Master | Married | 90782.0 | 0 | 0 | Cork | 11/3/2018 | 66 | 622.0 | ... | 0 | 0 | 40 | 1465.0 | 29 | 50.517241 | 1 | Male | 0 | (30, 40] |
| 10003076 | Mr. Cameron McDonald | Phd | Single | 113023.0 | 0 | 0 | Kinsale | 4/18/2019 | 6 | 1014.0 | ... | 0 | 0 | 28 | 1818.0 | 21 | 86.571429 | 0 | Male | 0 | (20, 30] |
| 10003078 | Mr. Keith Davidson | Phd | Single | 93571.0 | 0 | 1 | Cork | 7/22/2018 | 10 | 639.0 | ... | 0 | 0 | 39 | 1189.0 | 31 | 38.354839 | 0 | Male | 1 | (30, 40] |
| 10003079 | Mr. Alexander Gill | Phd | Single | 91852.0 | 0 | 1 | Kinsale | 2/3/2018 | 26 | 806.0 | ... | 0 | 0 | 43 | 1580.0 | 35 | 45.142857 | 1 | Male | 1 | (40, 50] |
| 10003080 | Mr. Neil Piper | Phd | Married | 22386.0 | 1 | 1 | Cork | 10/31/2018 | 65 | 32.0 | ... | 0 | 0 | 53 | 84.0 | 15 | 5.600000 | 1 | Male | 2 | (50, 60] |
5 rows × 34 columns
nrecords_original = np.shape(df_treated)[0]
df_treated = df_treated[df_treated['Mnt'] < df_treated['Income']]
nrecords_after = np.shape(df_treated)[0]
print(nrecords_original)
print(nrecords_after)
4809 4809
df_treated = df_treated[((df_treated['Mnt'] > 0) & (df_treated['freq'] > 0))]
nrecords_after = np.shape(df_treated)[0]
print(nrecords_after)
4809
#Including only numeric columns in a DataFrame description.
df_treated.describe(include=[np.number]).T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| Income | 4809.0 | 69516.435517 | 29170.551807 | 2553.200000 | 46507.000000 | 69172.500000 | 92507.000000 | 187314.45 |
| Kidhome | 4809.0 | 0.428156 | 0.537184 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 2.00 |
| Teenhome | 4809.0 | 0.476190 | 0.542212 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 2.00 |
| Recency | 4809.0 | 49.654814 | 29.035512 | 0.000000 | 25.000000 | 49.000000 | 75.000000 | 99.00 |
| MntGroceries | 4809.0 | 356.270514 | 400.739212 | 0.000000 | 28.000000 | 195.000000 | 596.000000 | 1799.00 |
| MntStationery | 4809.0 | 27.205822 | 40.360475 | 0.000000 | 2.000000 | 9.000000 | 34.000000 | 199.00 |
| MntHouseKeeping | 4809.0 | 184.109919 | 242.259019 | 0.000000 | 18.000000 | 69.000000 | 255.000000 | 1093.00 |
| MntWellness_&_Beauty | 4809.0 | 32.134227 | 47.502169 | 0.000000 | 3.000000 | 10.000000 | 40.000000 | 239.00 |
| MntElectronics_&_Supplies | 4809.0 | 35.158287 | 54.449422 | 0.000000 | 3.000000 | 11.000000 | 42.000000 | 315.00 |
| MntLimitedEdition | 4809.0 | 54.830131 | 69.057229 | 0.000000 | 10.000000 | 29.000000 | 70.000000 | 424.00 |
| NumDealsPurchases | 4809.0 | 2.025993 | 1.365561 | 0.000000 | 1.000000 | 2.000000 | 3.000000 | 6.00 |
| NumWebPurchases | 4809.0 | 10.048243 | 3.256595 | 1.000000 | 8.000000 | 9.000000 | 12.000000 | 31.00 |
| NumCatalogPurchases | 4809.0 | 4.532335 | 2.829575 | 0.000000 | 2.000000 | 4.000000 | 6.000000 | 13.00 |
| NumStorePurchases | 4809.0 | 5.679559 | 3.290725 | 0.000000 | 3.000000 | 4.000000 | 8.000000 | 13.00 |
| NumWebVisitsMonth | 4809.0 | 5.182366 | 2.544736 | 0.000000 | 3.000000 | 5.000000 | 7.000000 | 18.00 |
| AcceptedCmp1 | 4809.0 | 0.078395 | 0.268820 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| AcceptedCmp2 | 4809.0 | 0.066334 | 0.248891 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| AcceptedCmp3 | 4809.0 | 0.080058 | 0.271412 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| AcceptedCmp4 | 4809.0 | 0.063839 | 0.244491 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| AcceptedCmp5 | 4809.0 | 0.010813 | 0.103433 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| Complain | 4809.0 | 0.012685 | 0.111921 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 1.00 |
| Age | 4809.0 | 47.044500 | 11.915123 | 19.000000 | 38.000000 | 46.000000 | 56.000000 | 75.00 |
| Mnt | 4809.0 | 689.708900 | 687.150239 | 1.800000 | 84.000000 | 439.000000 | 1178.000000 | 3110.00 |
| freq | 4809.0 | 20.260137 | 7.451417 | 1.000000 | 14.000000 | 20.000000 | 26.000000 | 41.00 |
| MntFrq | 4809.0 | 29.264582 | 31.661759 | 0.818182 | 6.230769 | 21.857143 | 44.206897 | 445.30 |
| Num_Cmp_acepted | 4809.0 | 0.299439 | 0.664780 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 4.00 |
| Dependents | 4809.0 | 0.904346 | 0.735650 | 0.000000 | 0.000000 | 1.000000 | 1.000000 | 4.00 |
df_treated.head(n=5)
| Name | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Dt_Customer | Recency | MntGroceries | ... | AcceptedCmp5 | Complain | Age | Mnt | freq | MntFrq | Num_Cmp_acepted | Gender | Dependents | age_bins | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | Mr. Adam Glover | Master | Married | 90782.0 | 0 | 0 | Cork | 11/3/2018 | 66 | 622.0 | ... | 0 | 0 | 40 | 1465.0 | 29 | 50.517241 | 1 | Male | 0 | (30, 40] |
| 10003076 | Mr. Cameron McDonald | Phd | Single | 113023.0 | 0 | 0 | Kinsale | 4/18/2019 | 6 | 1014.0 | ... | 0 | 0 | 28 | 1818.0 | 21 | 86.571429 | 0 | Male | 0 | (20, 30] |
| 10003078 | Mr. Keith Davidson | Phd | Single | 93571.0 | 0 | 1 | Cork | 7/22/2018 | 10 | 639.0 | ... | 0 | 0 | 39 | 1189.0 | 31 | 38.354839 | 0 | Male | 1 | (30, 40] |
| 10003079 | Mr. Alexander Gill | Phd | Single | 91852.0 | 0 | 1 | Kinsale | 2/3/2018 | 26 | 806.0 | ... | 0 | 0 | 43 | 1580.0 | 35 | 45.142857 | 1 | Male | 1 | (40, 50] |
| 10003080 | Mr. Neil Piper | Phd | Married | 22386.0 | 1 | 1 | Cork | 10/31/2018 | 65 | 32.0 | ... | 0 | 0 | 53 | 84.0 | 15 | 5.600000 | 1 | Male | 2 | (50, 60] |
5 rows × 34 columns
df_treated ['Region'] = df_treated ['Region'].replace('Cork',0).replace('Killarney',1).replace('Kinsale',2)
df_treated ['Gender'] = df_treated ['Gender'].replace('Male',0).replace('Female',1)
df_treated ['Higher_Educ'] = np.where((df_treated ['Education']=='Graduation')|
(df_treated ['Education']=='Master')|
(df_treated ['Education']=='PhD'),1,0)
df_treated['Marital_Status'].value_counts()
Married 3237 Single 1020 Divorced 412 Widow 140 Name: Marital_Status, dtype: int64
df_treated ['Single_or_not'] = np.where((df_treated ['Marital_Status']=='Married'),1,0)
df_treated.head(n=5).T
| Card_ID | 10003075 | 10003076 | 10003078 | 10003079 | 10003080 |
|---|---|---|---|---|---|
| Name | Mr. Adam Glover | Mr. Cameron McDonald | Mr. Keith Davidson | Mr. Alexander Gill | Mr. Neil Piper |
| Education | Master | Phd | Phd | Phd | Phd |
| Marital_Status | Married | Single | Single | Single | Married |
| Income | 90782 | 113023 | 93571 | 91852 | 22386 |
| Kidhome | 0 | 0 | 0 | 0 | 1 |
| Teenhome | 0 | 0 | 1 | 1 | 1 |
| Region | 0 | 2 | 0 | 2 | 0 |
| Dt_Customer | 11/3/2018 | 4/18/2019 | 7/22/2018 | 2/3/2018 | 10/31/2018 |
| Recency | 66 | 6 | 10 | 26 | 65 |
| MntGroceries | 622 | 1014 | 639 | 806 | 32 |
| MntStationery | 70 | 15 | 88 | 56 | 1 |
| MntHouseKeeping | 678 | 643 | 185 | 350 | 29 |
| MntWellness_&_Beauty | 10 | 74 | 64 | 54 | 2 |
| MntElectronics_&_Supplies | 51 | 36 | 53 | 54 | 0 |
| MntLimitedEdition | 34 | 36 | 160 | 260 | 20 |
| NumDealsPurchases | 1 | 1 | 3 | 1 | 5 |
| NumWebPurchases | 12 | 9 | 13 | 15 | 9 |
| NumCatalogPurchases | 7 | 4 | 5 | 9 | 3 |
| NumStorePurchases | 10 | 8 | 13 | 11 | 3 |
| NumWebVisitsMonth | 4 | 1 | 5 | 6 | 9 |
| AcceptedCmp1 | 0 | 0 | 0 | 0 | 1 |
| AcceptedCmp2 | 1 | 0 | 0 | 0 | 0 |
| AcceptedCmp3 | 0 | 0 | 0 | 0 | 0 |
| AcceptedCmp4 | 0 | 0 | 0 | 1 | 0 |
| AcceptedCmp5 | 0 | 0 | 0 | 0 | 0 |
| Complain | 0 | 0 | 0 | 0 | 0 |
| Age | 40 | 28 | 39 | 43 | 53 |
| Mnt | 1465 | 1818 | 1189 | 1580 | 84 |
| freq | 29 | 21 | 31 | 35 | 15 |
| MntFrq | 50.5172 | 86.5714 | 38.3548 | 45.1429 | 5.6 |
| Num_Cmp_acepted | 1 | 0 | 0 | 1 | 1 |
| Gender | 0 | 0 | 0 | 0 | 0 |
| Dependents | 0 | 0 | 1 | 1 | 2 |
| age_bins | (30, 40] | (20, 30] | (30, 40] | (40, 50] | (50, 60] |
| Higher_Educ | 1 | 0 | 0 | 0 | 0 |
| Single_or_not | 1 | 0 | 0 | 0 | 1 |
df_normalized = df_treated[['Age', 'Income', 'Mnt','Recency','MntGroceries','MntStationery','MntHouseKeeping',
'MntWellness_&_Beauty','MntElectronics_&_Supplies','MntLimitedEdition','NumDealsPurchases',
'NumWebPurchases','NumCatalogPurchases','NumWebVisitsMonth','NumStorePurchases','Dependents','freq' , 'AcceptedCmp1',
'AcceptedCmp2', 'AcceptedCmp3' ,'AcceptedCmp4' , 'AcceptedCmp5','Higher_Educ'
]].copy()
df_normalized.head(n=5)
| Age | Income | Mnt | Recency | MntGroceries | MntStationery | MntHouseKeeping | MntWellness_&_Beauty | MntElectronics_&_Supplies | MntLimitedEdition | ... | NumWebVisitsMonth | NumStorePurchases | Dependents | freq | AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Higher_Educ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | 40 | 90782.0 | 1465.0 | 66 | 622.0 | 70.0 | 678.0 | 10.0 | 51.0 | 34.0 | ... | 4 | 10 | 0 | 29 | 0 | 1 | 0 | 0 | 0 | 1 |
| 10003076 | 28 | 113023.0 | 1818.0 | 6 | 1014.0 | 15.0 | 643.0 | 74.0 | 36.0 | 36.0 | ... | 1 | 8 | 0 | 21 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003078 | 39 | 93571.0 | 1189.0 | 10 | 639.0 | 88.0 | 185.0 | 64.0 | 53.0 | 160.0 | ... | 5 | 13 | 1 | 31 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10003079 | 43 | 91852.0 | 1580.0 | 26 | 806.0 | 56.0 | 350.0 | 54.0 | 54.0 | 260.0 | ... | 6 | 11 | 1 | 35 | 0 | 0 | 0 | 1 | 0 | 0 |
| 10003080 | 53 | 22386.0 | 84.0 | 65 | 32.0 | 1.0 | 29.0 | 2.0 | 0.0 | 20.0 | ... | 9 | 3 | 2 | 15 | 1 | 0 | 0 | 0 | 0 | 0 |
5 rows × 23 columns
# Min-Max Normalization
df_normalized = df_normalized.apply(lambda x: (x - np.min(x)) / (np.max(x) - np.min(x)))
df_normalized.describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| Age | 4809.0 | 0.500795 | 0.212770 | 0.0 | 0.339286 | 0.482143 | 0.660714 | 1.0 |
| Income | 4809.0 | 0.362431 | 0.157882 | 0.0 | 0.237895 | 0.360570 | 0.486865 | 1.0 |
| Mnt | 4809.0 | 0.221321 | 0.221077 | 0.0 | 0.026446 | 0.140660 | 0.378418 | 1.0 |
| Recency | 4809.0 | 0.501564 | 0.293288 | 0.0 | 0.252525 | 0.494949 | 0.757576 | 1.0 |
| MntGroceries | 4809.0 | 0.198038 | 0.222757 | 0.0 | 0.015564 | 0.108394 | 0.331295 | 1.0 |
| MntStationery | 4809.0 | 0.136713 | 0.202816 | 0.0 | 0.010050 | 0.045226 | 0.170854 | 1.0 |
| MntHouseKeeping | 4809.0 | 0.168445 | 0.221646 | 0.0 | 0.016468 | 0.063129 | 0.233303 | 1.0 |
| MntWellness_&_Beauty | 4809.0 | 0.134453 | 0.198754 | 0.0 | 0.012552 | 0.041841 | 0.167364 | 1.0 |
| MntElectronics_&_Supplies | 4809.0 | 0.111614 | 0.172855 | 0.0 | 0.009524 | 0.034921 | 0.133333 | 1.0 |
| MntLimitedEdition | 4809.0 | 0.129316 | 0.162871 | 0.0 | 0.023585 | 0.068396 | 0.165094 | 1.0 |
| NumDealsPurchases | 4809.0 | 0.337665 | 0.227593 | 0.0 | 0.166667 | 0.333333 | 0.500000 | 1.0 |
| NumWebPurchases | 4809.0 | 0.301608 | 0.108553 | 0.0 | 0.233333 | 0.266667 | 0.366667 | 1.0 |
| NumCatalogPurchases | 4809.0 | 0.348641 | 0.217660 | 0.0 | 0.153846 | 0.307692 | 0.461538 | 1.0 |
| NumWebVisitsMonth | 4809.0 | 0.287909 | 0.141374 | 0.0 | 0.166667 | 0.277778 | 0.388889 | 1.0 |
| NumStorePurchases | 4809.0 | 0.436889 | 0.253133 | 0.0 | 0.230769 | 0.307692 | 0.615385 | 1.0 |
| Dependents | 4809.0 | 0.226087 | 0.183913 | 0.0 | 0.000000 | 0.250000 | 0.250000 | 1.0 |
| freq | 4809.0 | 0.481503 | 0.186285 | 0.0 | 0.325000 | 0.475000 | 0.625000 | 1.0 |
| AcceptedCmp1 | 4809.0 | 0.078395 | 0.268820 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp2 | 4809.0 | 0.066334 | 0.248891 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp3 | 4809.0 | 0.080058 | 0.271412 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp4 | 4809.0 | 0.063839 | 0.244491 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp5 | 4809.0 | 0.010813 | 0.103433 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| Higher_Educ | 4809.0 | 0.454772 | 0.498002 | 0.0 | 0.000000 | 0.000000 | 1.000000 | 1.0 |
data_Groceries = df_normalized['MntGroceries'].to_list()
data_Groceries = [x+1 for x in data_Groceries]
bcdata, lam = boxcox(data_Groceries)
df_normalized = df_normalized.assign( MntGroceries_BC = bcdata)
data_Stationery = df_normalized['MntStationery'].to_list()
data_Stationery = [x+1 for x in data_Stationery]
bcdata, lam = boxcox(data_Stationery)
df_normalized = df_normalized.assign( MntStationery_BC = bcdata)
data_HouseKeeping = df_normalized['MntHouseKeeping'].to_list()
data_HouseKeeping = [x+1 for x in data_HouseKeeping]
bcdata, lam = boxcox(data_HouseKeeping)
df_normalized = df_normalized.assign( MntHouseKeeping_BC = bcdata)
data_WellnessBeauty = df_normalized['MntWellness_&_Beauty'].to_list()
data_WellnessBeauty = [x+1 for x in data_WellnessBeauty]
bcdata, lam = boxcox(data_WellnessBeauty)
df_normalized = df_normalized.assign( MntWellnessBeauty_BC = bcdata)
data_Eletronics = df_normalized['MntElectronics_&_Supplies'].to_list()
data_Eletronics = [x+1 for x in data_Eletronics]
bcdata, lam = boxcox(data_Eletronics)
df_normalized = df_normalized.assign( MntEletronics_BC = bcdata)
data_LimitedEdition = df_normalized['MntLimitedEdition'].to_list()
data_LimitedEdition = [x+1 for x in data_LimitedEdition]
bcdata, lam = boxcox(data_LimitedEdition)
df_normalized = df_normalized.assign( MntLimitedEdition_BC = bcdata)
df_normalized.describe().T
df_normalized = df_normalized.apply(lambda x: (x - np.min(x)) / (np.max(x) - np.min(x)))
df_normalized.describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| Age | 4809.0 | 0.500795 | 0.212770 | 0.0 | 0.339286 | 0.482143 | 0.660714 | 1.0 |
| Income | 4809.0 | 0.362431 | 0.157882 | 0.0 | 0.237895 | 0.360570 | 0.486865 | 1.0 |
| Mnt | 4809.0 | 0.221321 | 0.221077 | 0.0 | 0.026446 | 0.140660 | 0.378418 | 1.0 |
| Recency | 4809.0 | 0.501564 | 0.293288 | 0.0 | 0.252525 | 0.494949 | 0.757576 | 1.0 |
| MntGroceries | 4809.0 | 0.198038 | 0.222757 | 0.0 | 0.015564 | 0.108394 | 0.331295 | 1.0 |
| MntStationery | 4809.0 | 0.136713 | 0.202816 | 0.0 | 0.010050 | 0.045226 | 0.170854 | 1.0 |
| MntHouseKeeping | 4809.0 | 0.168445 | 0.221646 | 0.0 | 0.016468 | 0.063129 | 0.233303 | 1.0 |
| MntWellness_&_Beauty | 4809.0 | 0.134453 | 0.198754 | 0.0 | 0.012552 | 0.041841 | 0.167364 | 1.0 |
| MntElectronics_&_Supplies | 4809.0 | 0.111614 | 0.172855 | 0.0 | 0.009524 | 0.034921 | 0.133333 | 1.0 |
| MntLimitedEdition | 4809.0 | 0.129316 | 0.162871 | 0.0 | 0.023585 | 0.068396 | 0.165094 | 1.0 |
| NumDealsPurchases | 4809.0 | 0.337665 | 0.227593 | 0.0 | 0.166667 | 0.333333 | 0.500000 | 1.0 |
| NumWebPurchases | 4809.0 | 0.301608 | 0.108553 | 0.0 | 0.233333 | 0.266667 | 0.366667 | 1.0 |
| NumCatalogPurchases | 4809.0 | 0.348641 | 0.217660 | 0.0 | 0.153846 | 0.307692 | 0.461538 | 1.0 |
| NumWebVisitsMonth | 4809.0 | 0.287909 | 0.141374 | 0.0 | 0.166667 | 0.277778 | 0.388889 | 1.0 |
| NumStorePurchases | 4809.0 | 0.436889 | 0.253133 | 0.0 | 0.230769 | 0.307692 | 0.615385 | 1.0 |
| Dependents | 4809.0 | 0.226087 | 0.183913 | 0.0 | 0.000000 | 0.250000 | 0.250000 | 1.0 |
| freq | 4809.0 | 0.481503 | 0.186285 | 0.0 | 0.325000 | 0.475000 | 0.625000 | 1.0 |
| AcceptedCmp1 | 4809.0 | 0.078395 | 0.268820 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp2 | 4809.0 | 0.066334 | 0.248891 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp3 | 4809.0 | 0.080058 | 0.271412 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp4 | 4809.0 | 0.063839 | 0.244491 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| AcceptedCmp5 | 4809.0 | 0.010813 | 0.103433 | 0.0 | 0.000000 | 0.000000 | 0.000000 | 1.0 |
| Higher_Educ | 4809.0 | 0.454772 | 0.498002 | 0.0 | 0.000000 | 0.000000 | 1.000000 | 1.0 |
| MntGroceries_BC | 4809.0 | 0.384387 | 0.326027 | 0.0 | 0.058107 | 0.333565 | 0.696192 | 1.0 |
| MntStationery_BC | 4809.0 | 0.361306 | 0.338765 | 0.0 | 0.063965 | 0.253823 | 0.650370 | 1.0 |
| MntHouseKeeping_BC | 4809.0 | 0.391646 | 0.331690 | 0.0 | 0.086272 | 0.287724 | 0.693323 | 1.0 |
| MntWellnessBeauty_BC | 4809.0 | 0.365468 | 0.334998 | 0.0 | 0.080837 | 0.242151 | 0.651126 | 1.0 |
| MntEletronics_BC | 4809.0 | 0.358068 | 0.332602 | 0.0 | 0.073166 | 0.240629 | 0.634324 | 1.0 |
| MntLimitedEdition_BC | 4809.0 | 0.412137 | 0.294121 | 0.0 | 0.146401 | 0.362380 | 0.648046 | 1.0 |
fig, axes = plt.subplots(2,2, figsize = (15,10))
sns.histplot (ax = axes[0,0], data = df_normalized, x = 'MntStationery',kde=True).set_title('MntStationery after MixMax')
sns.histplot (ax = axes[0,1], data = df_normalized, x = 'MntStationery_BC',kde=True).set_title('MntStationery after BoxCox')
sns.histplot (ax = axes[1,0], data = df_normalized, x = 'MntElectronics_&_Supplies',kde=True).set_title('MntElectronics after MixMax')
sns.histplot (ax = axes[1,1], data = df_normalized, x = 'MntEletronics_BC',kde=True).set_title('MntElectronics after BoxCox')
plt.show()
var_list = ['MntGroceries', 'MntStationery', 'MntHouseKeeping' , 'MntWellness_&_Beauty' , 'MntElectronics_&_Supplies','MntLimitedEdition']
for category in var_list:
data_list = df_treated[category].to_list()
for idx,y in enumerate (data_list):
if y!=0:
data_list[idx] = 1
else :
data_list[idx] = 0
name= str(category + '_flag' )
df_normalized[name] = data_list
df_normalized.head(n=10)
| Age | Income | Mnt | Recency | MntGroceries | MntStationery | MntHouseKeeping | MntWellness_&_Beauty | MntElectronics_&_Supplies | MntLimitedEdition | ... | MntHouseKeeping_BC | MntWellnessBeauty_BC | MntEletronics_BC | MntLimitedEdition_BC | MntGroceries_flag | MntStationery_flag | MntHouseKeeping_flag | MntWellness_&_Beauty_flag | MntElectronics_&_Supplies_flag | MntLimitedEdition_flag | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | 0.375000 | 0.477529 | 0.470755 | 0.666667 | 0.345748 | 0.351759 | 0.620311 | 0.041841 | 0.161905 | 0.080189 | ... | 0.948346 | 0.242151 | 0.700952 | 0.408407 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003076 | 0.160714 | 0.597906 | 0.584325 | 0.060606 | 0.563646 | 0.075377 | 0.588289 | 0.309623 | 0.114286 | 0.084906 | ... | 0.939702 | 0.843586 | 0.580766 | 0.425757 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003078 | 0.357143 | 0.492624 | 0.381957 | 0.101010 | 0.355197 | 0.442211 | 0.169259 | 0.267782 | 0.168254 | 0.377358 | ... | 0.583150 | 0.803268 | 0.713852 | 0.892181 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003079 | 0.428571 | 0.483320 | 0.507754 | 0.262626 | 0.448027 | 0.281407 | 0.320220 | 0.225941 | 0.171429 | 0.613208 | ... | 0.795004 | 0.751292 | 0.720069 | 0.968993 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003080 | 0.607143 | 0.107343 | 0.026446 | 0.656566 | 0.017788 | 0.005025 | 0.026532 | 0.008368 | 0.000000 | 0.047170 | ... | 0.134755 | 0.054748 | 0.000000 | 0.268933 | 1 | 1 | 1 | 1 | 0 | 1 |
| 10003083 | 0.250000 | 0.578832 | 0.565665 | 0.757576 | 0.355197 | 0.633166 | 0.493138 | 0.635983 | 0.482540 | 0.358491 | ... | 0.906227 | 0.972267 | 0.960659 | 0.880779 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003085 | 0.267857 | 0.513846 | 0.290586 | 0.939394 | 0.191217 | 0.618090 | 0.257091 | 0.347280 | 0.146032 | 0.066038 | ... | 0.725702 | 0.872294 | 0.665783 | 0.352695 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003089 | 0.214286 | 0.258365 | 0.009073 | 0.313131 | 0.006115 | 0.000000 | 0.006404 | 0.016736 | 0.006349 | 0.014151 | ... | 0.034624 | 0.106111 | 0.049466 | 0.090979 | 1 | 0 | 1 | 1 | 1 | 1 |
| 10003091 | 0.875000 | 0.094662 | 0.005855 | 0.373737 | 0.000000 | 0.020101 | 0.005489 | 0.020921 | 0.000000 | 0.011792 | ... | 0.029764 | 0.130598 | 0.000000 | 0.076492 | 0 | 1 | 1 | 1 | 0 | 1 |
| 10003093 | 0.285714 | 0.127666 | 0.018081 | 0.525253 | 0.004447 | 0.030151 | 0.010064 | 0.041841 | 0.015873 | 0.042453 | ... | 0.053786 | 0.242151 | 0.118606 | 0.246116 | 1 | 1 | 1 | 1 | 1 | 1 |
10 rows × 35 columns
sns.scatterplot(x = 'Income', y= 'Mnt', data = df_treated , color='g',hue = "NumDealsPurchases" , palette="deep")
plt.title('Income vs Total amount spent vs Purchases using discount', color = 'k')
plt.legend(loc = 'upper right')
plt.xlabel("Income")
plt.ylabel("Total amount spent")
plt.show()
plt.figure(figsize=(10,6))
sns.scatterplot(x = 'Income', y= 'MntGroceries', data = df_treated ,hue = "MntHouseKeeping", palette = 'dark:salmon_r')
<matplotlib.axes._subplots.AxesSubplot at 0x2015153f9c8>
plt.figure(figsize=(10,6))
sns.scatterplot(x = 'Income', y= 'Mnt', data = df_treated ,hue = "MntLimitedEdition", palette = 'crest')
<matplotlib.axes._subplots.AxesSubplot at 0x20153eb6748>
plt.figure(figsize=(10,6))
sns.scatterplot(x = 'Income', y= 'Mnt', data = df_treated ,hue = 'Num_Cmp_acepted', palette = 'dark:salmon_r')
<matplotlib.axes._subplots.AxesSubplot at 0x201555de908>
sns.scatterplot(x = 'freq', y= 'Mnt', data = df_treated , color='green' )
plt.xlabel("Number of purchases")
plt.ylabel("Total amount spent")
Text(0, 0.5, 'Total amount spent')
sns.scatterplot(x = 'NumWebVisitsMonth', y= 'NumWebPurchases', data = df_treated , color='k',hue='Income' , palette= 'flare' )
plt.xlabel("NumWebVisitsMonth")
plt.ylabel("NumWebPurchases")
Text(0, 0.5, 'NumWebPurchases')
dfteste=df_treated .copy()
dfteste['AcceptedCmp1'] = dfteste['AcceptedCmp1'].replace(1,'Cmp1')
dfteste['AcceptedCmp2'] = dfteste['AcceptedCmp2'].replace(1,'Cmp2')
dfteste['AcceptedCmp3'] = dfteste['AcceptedCmp3'].replace(1,'Cmp3')
dfteste['AcceptedCmp4'] = dfteste['AcceptedCmp4'].replace(1,'Cmp4')
dfteste['AcceptedCmp5'] = dfteste['AcceptedCmp5'].replace(1,'Cmp5')
dfteste['AcceptedCmp1'] = dfteste['AcceptedCmp1'].replace(0,'x')
dfteste['AcceptedCmp2'] = dfteste['AcceptedCmp2'].replace(0,'x')
dfteste['AcceptedCmp3'] = dfteste['AcceptedCmp3'].replace(0,'x')
dfteste['AcceptedCmp4'] = dfteste['AcceptedCmp4'].replace(0,'x')
dfteste['AcceptedCmp5'] = dfteste['AcceptedCmp5'].replace(0,'x')
dfteste['TotalCmp'] = df_treated ['AcceptedCmp1']+df_treated ['AcceptedCmp2']+df_treated ['AcceptedCmp3']+df_treated ['AcceptedCmp4']+df_treated ['AcceptedCmp5']
dfteste['TotalCmp'] = np.where((dfteste.TotalCmp != 0),'x',dfteste.TotalCmp)
dfteste['TotalCmp'] = np.where((dfteste.TotalCmp != 'x'),'No Cmp',dfteste.TotalCmp)
#dfteste['TotalCmp'] = dfteste['TotalCmp'].replace(0,'No Cmp')
dfteste['TotalCmp']
fig, ax = plt.subplots()
ax.scatter(dfteste['Income'], dfteste['AcceptedCmp1'], color='purple' , alpha = 0.5)
ax.scatter(dfteste['Income'], dfteste['AcceptedCmp2'], color='blue',alpha = 0.5)
ax.scatter(dfteste['Income'], dfteste['AcceptedCmp3'], color='green',alpha = 0.5)
ax.scatter(dfteste['Income'], dfteste['AcceptedCmp4'], color='orange',alpha = 0.5)
ax.scatter(dfteste['Income'], dfteste['AcceptedCmp5'], color='red',alpha = 0.5)
ax.scatter(dfteste['Income'], dfteste['TotalCmp'], color='black',alpha = 0.5)
ax.set_xlabel("Income")
ax.set_ylabel("Number of Campaigns acepted")
plt.xticks(rotation=15)
ax.set_ylim([0.5,6.5])
plt.show()
df_treated['Num_Cmp_acepted'].value_counts()
0 3794 1 708 2 204 3 88 4 15 Name: Num_Cmp_acepted, dtype: int64
teen_max = df_treated ['Teenhome'].max()
teen_min = df_treated ['Teenhome'].min()
kid_max = df_treated ['Kidhome'].max()
kid_min = df_treated ['Kidhome'].min()
df_teens_kids = []
for k in range(kid_min, kid_max + 1):
for t in range(teen_min, teen_max + 1):
df_teens_kids.append(df_treated .loc[(df_treated ['Kidhome'] == k) & (df_treated ['Teenhome'] == t),'Teenhome'].count())
df_teens_kids = np.reshape(df_teens_kids, (kid_max + 1, teen_max + 1))
ax = plt.axes()
sns.heatmap(df_teens_kids , linewidths=.5, annot=True, cmap="YlGnBu" ,fmt = "d" , ax = ax, cbar_kws={'label': 'Number of costumers'})
ax.set_title('Kids at home VS Teens at home ')
plt.xlabel('Teens at Home', fontsize = 10)
plt.ylabel('Kids at home', fontsize = 10)
plt.show()
Total=df_treated['Marital_Status'].value_counts().sum()
values = df_treated['Marital_Status'].value_counts().keys().tolist()
counts = df_treated['Marital_Status'].value_counts().tolist()
sns.barplot(x=values,y=counts, palette="deep")
ax = plt.gca()
position = 0
for value in counts:
ax.text(position, value, '{:.1f}%'.format(value / Total * 100), color = 'black', ha = 'center', size = 'large' )
position = position + 1
plt.grid(axis='y', alpha=0.5)
plt.xlabel('Marital Status')
plt.ylabel('Customer counts')
plt.show()
plt.figure(figsize=(10,6))
sns.scatterplot(x = 'Recency', y= 'Mnt', data = df_treated , color='green',marker="s" )
plt.xlabel("Number of days since last purchase")
plt.ylabel("Total amount spent")
plt.show()
Total=df_treated['Education'].value_counts().sum()
values = df_treated['Education'].value_counts().keys().tolist()
counts = df_treated['Education'].value_counts().tolist()
sns.barplot(x=values,y=counts, palette="deep")
ax = plt.gca()
position = 0
for value in counts:
ax.text(position, value, '{:.1f}%'.format(value / Total * 100), color = 'black', ha = 'center',size = 'large')
position = position + 1
plt.grid(axis='y', alpha=0.5)
plt.xlabel('Education')
plt.ylabel('Customer counts')
plt.show()
ax = sns.boxplot(x="Marital_Status", y="Mnt", data=df_treated ,palette="Set3")
plt.xlabel("Marital Status")
plt.ylabel("Total amount spent")
Text(0, 0.5, 'Total amount spent')
ax = sns.boxplot(x="Education", y="Mnt", data=df_treated ,palette="Set2")
plt.xlabel("Education")
plt.ylabel('Total amount spent')
Text(0, 0.5, 'Total amount spent')
ax = sns.stripplot(x = "Dependents", y="Mnt", data=df_treated , jitter=0.3 ,linewidth=0.5, alpha=.5, s=5)
# ax = sns.swarmplot(x = "Dependents", y="Mnt", data=df_treated ,linewidth=0.5, alpha=.5, s=5)
plt.xlabel("Dependents")
plt.ylabel('Total amount spent')
Text(0, 0.5, 'Total amount spent')
plt.figure(figsize=(10,6))
box_plot = sns.boxplot(x="age_bins", y="Mnt", data=df_treated ,palette="crest")
medians = df_treated .groupby(['age_bins'])['Mnt'].median()
vertical_offset =df_treated ['Mnt'].median() * 0.1
for xtick in box_plot.get_xticks():
box_plot.text(xtick,medians[xtick] + vertical_offset,medians[xtick],
horizontalalignment='center',size='medium',color='w',weight='semibold')
plt.xlabel("Age group")
plt.ylabel("Total amount spent")
plt.show()
# stats = f_stats_boxplot(df_in['TotalPurchases'])
# axPurchases_00_00.text(stats[1], -.3, '{:.1f}'.format(stats[1]), color = 'red', ha = 'center')
# axPurchases_00_00.text(stats[3], .1, '{:.1f}'.format(stats[3]), color = 'black', ha = 'center')
# axPurchases_00_00.text(stats[5], -.3, '{:.1f}'.format(stats[5]), color = 'red', ha = 'center')
ax = sns.catplot(x="Dependents", y="Income", data=df_treated,kind="violin")
plt.xlabel("Dependents")
plt.ylabel('Income')
plt.show()
lista = df_normalized['MntStationery_BC']
fig, axes = plt.subplots(2,1, figsize = (5,6),gridspec_kw={'height_ratios': [1, 4]})
g1=sns.histplot(ax = axes[1], data = df_normalized, x = 'MntStationery_BC', color="pink", bins = 30)
g2=sns.boxplot(ax = axes[0], data = df_normalized, x = 'MntStationery_BC', color="red" )
g2.set(xlabel=None)
g2.set(title='MntStationery')
res = stats (lista)
axes[1].text(0, -5.3, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[1].text(0, -5.5, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[1].text(0.4, -5.3, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[1].text(0.4, -5.5, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
plt.xlabel("Amount spent")
plt.show()
# var_list= ['MntGroceries_BC','MntStationery_BC','MntHouseKeeping_BC','MntWellnessBeauty_BC','MntEletronics_BC','MntLimitedEdition_BC']
# for var in var_list:
# lista = df_normalized[var]
# fig, axes = plt.subplots(2,1, figsize = (3,7),gridspec_kw={'height_ratios': [1, 4]})
# g1=sns.histplot(ax = axes[1], data = df_normalized, x = var, color="pink", bins = 30)
# g2=sns.boxplot(ax = axes[0], data = df_normalized, x = var, color="red" )
# g2.set(xlabel=None)
# g2.set(title=var)
# res = stats (lista)
# axes[1].text(0, -5.3, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
# color= 'k')
# axes[0].text(0, -5.6, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
# color= 'k')
# axes[1].text(0.7, -5.3, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
# color= 'k')
# axes[1].text(0.7, -5.6, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
# color= 'k')
# plt.xlabel("Amount spent")
# plt.show()
# Creating dataset
Cmp = ['Cmp1', 'Cmp2', 'Cmp3', 'Cmp4', 'Cmp5']
OffersbyCmp = pd.Series(df_treated[['AcceptedCmp1', 'AcceptedCmp2', 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5']].sum(), name = 'Campaign')
explode = (0.0, 0.0, 0.0, 0, 0.2)
colors = ( "orange", "red", "deepskyblue", "green", "violet", "cadetblue","grey")
wp = { 'linewidth' : 1, 'edgecolor' : "white" }
fig, ax = plt.subplots(figsize =(10, 7))
wedges, texts, autotexts = ax.pie(OffersbyCmp, explode=explode, autopct='%1.1f%%', labels = Cmp, shadow = False, colors = colors, startangle = 80, wedgeprops = wp, textprops = dict(color ="black"))
# legend
ax.legend(wedges, Cmp, title ="Campaign", loc ="upper right", bbox_to_anchor =(0.7, 0, 0.5, 1))
ax.set_title("Campaings acceptance ", fontsize=14, weight = "bold", color = "Black")
plt.show()
Mnt = ['MntGroceries','MntStationery','MntHouseKeeping','MntWellness_&_Beauty','MntElectronics_&_Supplies','MntLimitedEdition']
ProductUsage = pd.Series(df_treated[['MntGroceries', 'MntStationery', 'MntHouseKeeping', 'MntWellness_&_Beauty', 'MntElectronics_&_Supplies','MntLimitedEdition']].sum(), name = 'Product')
explode = (0.0, 0.2, 0.0, 0.2, 0.2,0.2)
colors = ( "orange", "red", "deepskyblue", "green", "violet", "cadetblue","grey")
wp = { 'linewidth' : 1, 'edgecolor' : "white" }
fig, ax = plt.subplots(figsize =(10, 7))
wedges, texts, autotexts = ax.pie(ProductUsage, explode=explode, autopct='%1.1f%%', labels = Mnt, shadow = False, colors = colors, startangle = 80, wedgeprops = wp, textprops = dict(color ="black"))
ax.legend(wedges, Mnt, title ="Product category", loc ="lower left", bbox_to_anchor =(-0.4, 0, 0.5, 1))
ax.set_title("Total amount spend per category", fontsize=15, weight = "bold", color = "Black")
# show plot
plt.show()
plt.figure(figsize=(8,4))
sns.scatterplot(x = 'Recency', y= 'Mnt', data = df_treated ,hue= 'Num_Cmp_acepted' ,palette ='flare')
plt.xlabel("Number of days since last purchase")
plt.ylabel("Total amount spent")
# plt.legend(loc='lower left', bbox_to_anchor=(0.6,0.5))
plt.legend(shadow=True, fancybox=True, ncol = 5, title="Number of campaigns accepted")
plt.ylim(top=4000)
plt.show()
df_product_segmentation = df_normalized.copy()
# df_product_segmentation.describe().T
df_product_segmentation_k_means = df_product_segmentation.filter(items=['MntGroceries_BC', 'MntStationery_BC',
'MntHouseKeeping_BC', 'MntWellnessBeauty_BC', 'MntEletronics_BC',
'MntLimitedEdition_BC', 'MntGroceries_flag', 'MntStationery_flag' , 'MntHouseKeeping_flag' ,
'MntWellness_&_Beauty_flag', 'MntElectronics_&_Supplies_flag' , 'MntLimitedEdition_flag']).copy()
df_product_segmentation_k_means.head(n = 5)
| MntGroceries_BC | MntStationery_BC | MntHouseKeeping_BC | MntWellnessBeauty_BC | MntEletronics_BC | MntLimitedEdition_BC | MntGroceries_flag | MntStationery_flag | MntHouseKeeping_flag | MntWellness_&_Beauty_flag | MntElectronics_&_Supplies_flag | MntLimitedEdition_flag | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | ||||||||||||
| 10003075 | 0.711100 | 0.869938 | 0.948346 | 0.242151 | 0.700952 | 0.408407 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003076 | 0.868892 | 0.382246 | 0.939702 | 0.843586 | 0.580766 | 0.425757 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003078 | 0.720462 | 0.918590 | 0.583150 | 0.803268 | 0.713852 | 0.892181 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003079 | 0.798530 | 0.810996 | 0.795004 | 0.751292 | 0.720069 | 0.968993 | 1 | 1 | 1 | 1 | 1 | 1 |
| 10003080 | 0.066082 | 0.032585 | 0.134755 | 0.054748 | 0.000000 | 0.268933 | 1 | 1 | 1 | 1 | 0 | 1 |
inertias_list = []
kmeans_kwargs = {
"init": "random",
"n_init": 40,
"max_iter": 500,
}
for k in range (1,15):
kmeans = KMeans(n_clusters = k, **kmeans_kwargs, precompute_distances = True , random_state= 100)
kmeans.fit(df_product_segmentation_k_means)
inertias_list.append(kmeans.inertia_)
#plot number of clusters
plt.plot(range(1, 15), inertias_list)
plt.xlabel("Number of Clusters")
plt.ylabel("Inertia")
plt.xticks(np.arange(1, 15, 1))
plt.grid()
plt.show()
#Elbow location
kl = KneeLocator( range(1, 15), inertias_list, curve="convex", direction="decreasing")
kl.elbow
3
#After some iterations 6 cluster was established
n_clusters = 6
# Model training
model = KMeans(n_clusters = n_clusters, n_init = 40, max_iter = 2000 , random_state=100)
model.fit(df_product_segmentation_k_means)
KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=2000,
n_clusters=6, n_init=40, n_jobs=None, precompute_distances='auto',
random_state=100, tol=0.0001, verbose=0)
df_product_segmentation_k_means['product_clusters'] = model.labels_
df_treated['product_clusters'] = model.labels_
df_product_segmentation_k_means.head(n=5)
df_treated.head(n=5)
| Name | Education | Marital_Status | Income | Kidhome | Teenhome | Region | Dt_Customer | Recency | MntGroceries | ... | Mnt | freq | MntFrq | Num_Cmp_acepted | Gender | Dependents | age_bins | Higher_Educ | Single_or_not | product_clusters | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Card_ID | |||||||||||||||||||||
| 10003075 | Mr. Adam Glover | Master | Married | 90782.0 | 0 | 0 | 0 | 11/3/2018 | 66 | 622.0 | ... | 1465.0 | 29 | 50.517241 | 1 | 0 | 0 | (30, 40] | 1 | 1 | 2 |
| 10003076 | Mr. Cameron McDonald | Phd | Single | 113023.0 | 0 | 0 | 2 | 4/18/2019 | 6 | 1014.0 | ... | 1818.0 | 21 | 86.571429 | 0 | 0 | 0 | (20, 30] | 0 | 0 | 2 |
| 10003078 | Mr. Keith Davidson | Phd | Single | 93571.0 | 0 | 1 | 0 | 7/22/2018 | 10 | 639.0 | ... | 1189.0 | 31 | 38.354839 | 0 | 0 | 1 | (30, 40] | 0 | 0 | 2 |
| 10003079 | Mr. Alexander Gill | Phd | Single | 91852.0 | 0 | 1 | 2 | 2/3/2018 | 26 | 806.0 | ... | 1580.0 | 35 | 45.142857 | 1 | 0 | 1 | (40, 50] | 0 | 0 | 2 |
| 10003080 | Mr. Neil Piper | Phd | Married | 22386.0 | 1 | 1 | 0 | 10/31/2018 | 65 | 32.0 | ... | 84.0 | 15 | 5.600000 | 1 | 0 | 2 | (50, 60] | 0 | 1 | 0 |
5 rows × 37 columns
variaveis = ['MntGroceries_BC', 'MntStationery_BC',
'MntHouseKeeping_BC', 'MntWellnessBeauty_BC', 'MntEletronics_BC',
'MntLimitedEdition_BC']
ax = sns.pairplot(df_product_segmentation_k_means, vars = variaveis,hue='product_clusters', palette = "tab10" , diag_kind = 'kde')
C:\Users\Tiago\anaconda3\lib\site-packages\seaborn\distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate. warnings.warn(msg, UserWarning) C:\Users\Tiago\anaconda3\lib\site-packages\seaborn\distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate. warnings.warn(msg, UserWarning) C:\Users\Tiago\anaconda3\lib\site-packages\seaborn\distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate. warnings.warn(msg, UserWarning)
fig, (ax1, ax2) =plt.subplots(1,2,figsize =(15, 5))
sns.scatterplot(x = 'Income', y= 'Mnt', data = df_treated ,hue = 'product_clusters', palette = 'tab10' , ax=ax1)
sns.scatterplot(x = 'freq', y= 'Mnt', data = df_treated , hue = 'product_clusters' , palette = 'tab10', ax=ax2)
ax1.set_xlabel('Income')
ax1.set_ylabel('Total amount spent')
ax2.set_xlabel("Number of purchases")
ax2.set_ylabel('Total amount spent')
Text(0, 0.5, 'Total amount spent')
# fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
# for i in range (0,6):
# size = df_product_segmentation_k_means[df_product_segmentation_k_means['cluster'] == i]['MntGroceries_BC'].size
# sns.histplot(df_product_segmentation_k_means[df_product_segmentation_k_means['cluster'] == i]['MntGroceries_BC'],
# ax = axes[i], bins = 30 ).set_title('Cluster ' + str(i+1) +' (N = ' + str(size) +')')
# plt.tight_layout()
# for i in range (1,6):
# axes[i].set_ylabel('')
# for i in range (0,6):
# axes[i].set_xlim([0, 1])
# plt.show()
variaveis = ['MntGroceries', 'MntStationery',
'MntHouseKeeping', 'MntWellness_&_Beauty', 'MntElectronics_&_Supplies',
'MntLimitedEdition']
for var in variaveis:
jet= plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i][var].size
sns.histplot(df_treated[df_treated['product_clusters'] == i][var],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) +' (N = ' + str(size) +')')
res = stats (df_treated[df_treated['product_clusters'] == i][var])
axes[i].text(0.1+i*1.25, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.25, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.25, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.25, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.tight_layout()
plt.show()
Total=df_treated['Income'].value_counts().sum()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['Income'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['Income'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['Income'])
axes[i].text(0.1+i*1.22, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.22, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.22, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.22, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.tight_layout()
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['Mnt'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['Mnt'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['Mnt'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['freq'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['freq'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['freq'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(20, 6))
for i in range (0,6):
values = df_treated[df_treated['product_clusters'] == i]['Education'].value_counts().keys().tolist()
counts = df_treated[df_treated['product_clusters'] == i]['Education'].value_counts().tolist()
size = df_treated[df_treated['product_clusters'] == i]['Education'].size
percentage = round(size/Total*100,2)
sns.barplot(x=values,y=counts, ax = axes[i]).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
position = 0
for value in counts:
axes[i].text(position, value, '{:.2f}%'.format(value / Total * 100), color = 'black', ha = 'center', size = 'large' , va = 'bottom')
position = position + 1
plt.tight_layout()
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(20, 6))
for i in range (0,6):
values = df_treated[df_treated['product_clusters'] == i]['Marital_Status'].value_counts().keys().tolist()
counts = df_treated[df_treated['product_clusters'] == i]['Marital_Status'].value_counts().tolist()
size = df_treated[df_treated['product_clusters'] == i]['Marital_Status'].size
percentage = round(size/Total*100,2)
sns.barplot(x=values,y=counts, ax = axes[i] , palette = 'hls').set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
position = 0
for value in counts:
axes[i].text(position, value, '{:.2f}%'.format(value / Total * 100), color = 'black', ha = 'center', size = 'large' , va = 'bottom')
position = position + 1
plt.tight_layout()
plt.show()
# df_normalized.describe().T
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(20, 6))
for i in range (0,6):
values = df_treated[df_treated['product_clusters'] == i]['age_bins'].value_counts().keys().tolist()
counts = df_treated[df_treated['product_clusters'] == i]['age_bins'].value_counts().tolist()
size = df_treated[df_treated['product_clusters'] == i]['age_bins'].size
percentage = round(size/Total*100,2)
sns.barplot(x=values,y=counts, ax = axes[i]).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
position = 0
for value in counts:
axes[i].text(position, value, '{:.2f}%'.format(value / Total * 100), color = 'black', ha = 'center', size = 'medium' , va = 'bottom')
axes[i].set_xticklabels(axes[i].get_xticklabels(), rotation=30)
position = position + 1
plt.tight_layout()
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['NumWebPurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['NumWebPurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['NumWebPurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['NumCatalogPurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['NumCatalogPurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['NumCatalogPurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['NumStorePurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['NumStorePurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['NumStorePurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=6, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,6)))
for i in range (0,6):
size = df_treated[df_treated['product_clusters'] == i]['NumDealsPurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['product_clusters'] == i]['NumDealsPurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['product_clusters'] == i]['NumDealsPurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,6):
axes[i].set_ylabel('')
plt.show()
After data cleaning our data frame reamined with a total of 4809 rows (clients). In the first segmentation (product usage), a number of 6 cluster was used. Two clusters contain more than 30 % of the costumers population, as the remained 4 clusters contain between 6 to 10 % of the costumers.
Cluster (N = 1727 ; 35.91 %) - High value costumers : It is the cluster with more costumers, and represents the costumers with higher income (median = 95076) that spends more money in the store (median =1294) , and regardless of the product category;
Cluster (N = 1600 ; 33.27 %) - Low budget costumers : Also represents a large amount of the costumers, and corresponds to the costumers with less income (median = 49523) and that on majority only spend money on essential products (Groceries and house keeping).
Cluster (N = 309 ; 6.43 %) - Non stationary and books :
Cluster (N = 393 ; 8.17 %) - Non wellness and beauty :
Cluster (N = 340 ; 7.07 %) - Non eletronics :
Cluster (N = 440 ; 9.15 %) - Ocasionally essential costumers : only buys products for the groceries and house keeping categories. Visit the store not very regularly (freq median = 14), the cluster that spends less in the store (median = 58). Differs from cluster (N = 1727 ; 35.91 %), eventough they have a higher income they spend less.
df_costumer_segmentation = df_normalized.copy()
df_costumer_segmentation_k_means = df_costumer_segmentation.filter(items=[ 'Recency',
'freq','Mnt']).copy()
df_costumer_segmentation_k_means.head(n = 5)
| Recency | freq | Mnt | |
|---|---|---|---|
| Card_ID | |||
| 10003075 | 0.666667 | 0.70 | 0.470755 |
| 10003076 | 0.060606 | 0.50 | 0.584325 |
| 10003078 | 0.101010 | 0.75 | 0.381957 |
| 10003079 | 0.262626 | 0.85 | 0.507754 |
| 10003080 | 0.656566 | 0.35 | 0.026446 |
inertias_list = []
kmeans_kwargs = {
"init": "random",
"n_init": 40,
"max_iter": 500,
"random_state": 100,
}
for k in range (1,15):
kmeans = KMeans(n_clusters = k, **kmeans_kwargs, precompute_distances = True)
kmeans.fit(df_costumer_segmentation_k_means)
inertias_list.append(kmeans.inertia_)
#plot number of clusters
plt.plot(range(1, 15), inertias_list)
plt.xlabel("Number of Clusters")
plt.ylabel("Inertia")
plt.xticks(np.arange(1, 15, 1))
plt.grid()
plt.show()
n_clusters = 4
# Model training
model = KMeans(n_clusters = n_clusters, n_init = 40, max_iter = 2000, random_state=100)
model.fit(df_costumer_segmentation_k_means)
KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=2000,
n_clusters=4, n_init=40, n_jobs=None, precompute_distances='auto',
random_state=100, tol=0.0001, verbose=0)
df_costumer_segmentation_k_means['value_cluster'] = model.labels_
df_treated['value_cluster'] = model.labels_
df_costumer_segmentation_k_means.head(n=5)
| Recency | freq | Mnt | value_cluster | |
|---|---|---|---|---|
| Card_ID | ||||
| 10003075 | 0.666667 | 0.70 | 0.470755 | 1 |
| 10003076 | 0.060606 | 0.50 | 0.584325 | 2 |
| 10003078 | 0.101010 | 0.75 | 0.381957 | 2 |
| 10003079 | 0.262626 | 0.85 | 0.507754 | 2 |
| 10003080 | 0.656566 | 0.35 | 0.026446 | 3 |
variaveis = ['Recency',
'freq','Mnt']
ax = sns.pairplot(df_costumer_segmentation_k_means, vars = variaveis,hue='value_cluster', palette = "tab10" , diag_kind = 'kde')
fig, ax = plt.subplots()
ax = sns.scatterplot(x = 'Recency', y= 'Mnt', data = df_treated ,hue = 'value_cluster', palette = 'tab10')
plt.xlabel("Days since last purchase")
plt.ylabel("Total amount spent")
plt.legend(shadow=True, fancybox=True, ncol = 5, title="Cluster")
plt.ylim(top=4000)
for i in range (0,4):
size = df_treated[df_treated['value_cluster'] == i]['Recency'].size
percentage = round(size/Total*100,2)
ax.text(1.05, 0.1+(i-0.9*i), 'Cluster:' + str(i) + ' '+ str(percentage) + ' % ' + '(N=' + str(size) + ')', transform=ax.transAxes, fontsize=12)
fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,4)))
for i in range (0,4):
size = df_treated[df_treated['value_cluster'] == i]['NumDealsPurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['value_cluster'] == i]['NumDealsPurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats2 (df_treated[df_treated['value_cluster'] == i]['NumDealsPurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Mean = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,4):
axes[i].set_ylabel('')
plt.show()
df_costumer_segmentation = df_normalized.copy()
# df_costumer_segmentation.describe().T
# AcceptedCmp1
df_costumer_segmentation_k_means = df_costumer_segmentation.filter(items=['AcceptedCmp1',
'AcceptedCmp2','AcceptedCmp3','AcceptedCmp4','AcceptedCmp5','Mnt']).copy()
df_costumer_segmentation_k_means.head(n = 5)
| AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Mnt | |
|---|---|---|---|---|---|---|
| Card_ID | ||||||
| 10003075 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.470755 |
| 10003076 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.584325 |
| 10003078 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.381957 |
| 10003079 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.507754 |
| 10003080 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.026446 |
inertias_list = []
kmeans_kwargs = {
"init": "random",
"n_init": 40,
"max_iter": 500,
"random_state": 100,
}
for k in range (1,15):
kmeans = KMeans(n_clusters = k, **kmeans_kwargs, precompute_distances = True)
kmeans.fit(df_costumer_segmentation_k_means)
inertias_list.append(kmeans.inertia_)
#plot number of clusters
plt.plot(range(1, 15), inertias_list)
plt.xlabel("Number of Clusters")
plt.ylabel("Inertia")
plt.xticks(np.arange(1, 15, 1))
plt.grid()
plt.show()
n_clusters = 5
# Model training
model = KMeans(n_clusters = n_clusters, n_init = 40, max_iter = 2000, random_state=100)
model.fit(df_costumer_segmentation_k_means)
KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=2000,
n_clusters=5, n_init=40, n_jobs=None, precompute_distances='auto',
random_state=100, tol=0.0001, verbose=0)
df_costumer_segmentation_k_means['cluster'] = model.labels_
df_treated['cluster'] = model.labels_
df_costumer_segmentation_k_means.head(n=5)
| AcceptedCmp1 | AcceptedCmp2 | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | Mnt | cluster | |
|---|---|---|---|---|---|---|---|
| Card_ID | |||||||
| 10003075 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.470755 | 2 |
| 10003076 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.584325 | 0 |
| 10003078 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.381957 | 0 |
| 10003079 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.507754 | 1 |
| 10003080 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.026446 | 4 |
print('Amount of campaigns accepted ')
print(df_treated['Num_Cmp_acepted'].value_counts())
Amount of campaigns accepted 0 3794 1 708 2 204 3 88 4 15 Name: Num_Cmp_acepted, dtype: int64
fig, ax = plt.subplots()
df_loc = []
df_loc = ( df_treated.loc[df_treated['AcceptedCmp1'] == 1, 'cluster'] )
df_loc = df_loc.value_counts().rename_axis('cluster').to_frame('Campaign 1')
df_loc2 = ( df_treated.loc[df_treated['AcceptedCmp2'] == 1, 'cluster'] )
df_loc2 = df_loc2.value_counts().rename_axis('cluster').to_frame('Campaign 2')
df_loc3 = ( df_treated.loc[df_treated['AcceptedCmp3'] == 1, 'cluster'] )
df_loc3 = df_loc3.value_counts().rename_axis('cluster').to_frame('Campaign 3')
df_loc4 = ( df_treated.loc[df_treated['AcceptedCmp4'] == 1, 'cluster'] )
df_loc4 = df_loc4.value_counts().rename_axis('cluster').to_frame('Campaign 4')
df_loc5 = ( df_treated.loc[df_treated['AcceptedCmp5'] == 1, 'cluster'] )
df_loc5 = df_loc5.value_counts().rename_axis('cluster').to_frame('Campaign 5')
df_loc6 = ( df_treated.loc[df_treated['Num_Cmp_acepted'] == 0, 'cluster'] )
df_loc6 = df_loc6.value_counts().rename_axis('cluster').to_frame('No campaign')
result = pd.concat([df_loc, df_loc2,df_loc3,df_loc4,df_loc5,df_loc6], axis=1)
result = result.fillna(0)
sns.heatmap(result, linewidths=.5, annot=True, cmap="YlGnBu_r" ,fmt='g')
som=pd.DataFrame(result.sum(), columns=['sum'])
ax.text(-0.8, -0.2, 'Total:',weight='semibold',fontsize = 11)
for i in range (0,6):
ax.text(i+0.2, -0.2, int(som.iloc[i]['sum']),weight='semibold',fontsize = 13)
# values = som['sum'].value_counts().keys().tolist()
fig, ax = plt.subplots()
ax=sns.scatterplot(x = 'Income', y= 'Mnt', data = df_treated ,hue= 'cluster' ,palette ='tab10')
plt.xlabel("Income")
plt.ylabel("Total amount spent")
# plt.legend(loc='lower left', bbox_to_anchor=(0.6,0.5))
plt.legend(shadow=True, fancybox=True, ncol = 7, title="Cluster")
plt.ylim(top=4000)
for i in range (0,5):
size = df_treated[df_treated['cluster'] == i]['Recency'].size
percentage = round(size/Total*100,2)
ax.text(1.1, 0.1+(i-0.9*i), 'Cluster:' + str(i) + ' '+ str(percentage) + ' % ' + '(N=' + str(size) + ')', transform=ax.transAxes, fontsize=12)
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=5, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('jet')
colors = iter(jet(np.linspace(0,1,5)))
for i in range (0,5):
size = df_treated[df_treated['cluster'] == i]['Mnt'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['cluster'] == i]['Mnt'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('Cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats (df_treated[df_treated['cluster'] == i]['Mnt'])
axes[i].text(0.1+i*1.2, -0.15, 'Median = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,5):
axes[i].set_ylabel('')
plt.show()
With only 52 aprovables campaign #5 should not be followed
df_product_vs_campaign = pd.crosstab(df_treated.cluster, df_treated.value_cluster)
fig, ax = plt.subplots()
Costumer_labels = ['Do not accept any campaigns\n(N=3799)', 'Aceppted campaign 4\n(N=258)' , 'Aceppted campaign 2\n(N=192)' , 'Aceppted campaign 3\n(N=233)' , 'Aceppted campaign 1\n(N=327)']
Value_labels = ['Recent casual buyers\n(N=1376) ', 'Non-recent Premium buyers\n(N=1065) ' , 'Recent Premium buyers\n(N=1041) ' , 'Non-recent casual buyers\n(N=1328) ' ]
sns.heatmap(df_product_vs_campaign, linewidths=.5, annot=True, cmap="YlGnBu_r" ,fmt='g')
ax.set_xlabel('Customer value segmentation')
ax.set_ylabel('Customer campaign segmentation')
ax.set_yticklabels(Costumer_labels, rotation = 'horizontal')
ax.set_xticklabels(Value_labels, rotation = 'vertical')
plt.show()
Campanha 1 para casual buyers (pessoas que gastam pouco MNT), Campanha 2,3,4 mais viradas para premium buyers
df_product_vs_value= pd.crosstab(df_treated.value_cluster, df_treated.product_clusters)
fig, ax = plt.subplots()
product_labels = ['Non-electronics\n(N=340)', 'Low-budget customers\n(N=1600)' , 'High value customers\n(N=1727)' , 'Non-stationary/books\n(N=309)' , 'Non-wellness/beauty\n(N=393)', 'Money grubber\n(N=440)']
sns.heatmap(df_product_vs_value, linewidths=.5, annot=True, cmap="YlGnBu" ,fmt='g')
ax.set_xlabel('Product segmentation')
ax.set_ylabel('Customer value segmentation')
ax.set_yticklabels(Value_labels, rotation = 'horizontal')
ax.set_xticklabels(product_labels, rotation = 'vertical')
plt.show()
Vender produtos por catalogo focar no cluster "high value costumers"
To sell eletronic products should focus on clusters : ("high value costumers","non-stationary/books","non-wellness and beauty")
df_1_vs_2 = pd.crosstab(df_treated.cluster, df_treated.product_clusters)
fig, ax = plt.subplots()
sns.heatmap(df_1_vs_2, linewidths=.5, annot=True, cmap="YlGnBu" ,fmt='g')
ax.set_xlabel('Product segmentation')
ax.set_ylabel('Campaign segmentation')
ax.set_yticklabels(Costumer_labels, rotation = 'horizontal')
ax.set_xticklabels(product_labels, rotation = 'vertical')
[Text(0.5, 0, 'Non-electronics\n(N=340)'), Text(1.5, 0, 'Low-budget customers\n(N=1600)'), Text(2.5, 0, 'High value customers\n(N=1727)'), Text(3.5, 0, 'Non-stationary/books\n(N=309)'), Text(4.5, 0, 'Non-wellness/beauty\n(N=393)'), Text(5.5, 0, 'Money grubber\n(N=440)')]
df_costumer_segmentation_2 = df_normalized.copy()
# df_costumer_segmentation_2.describe().T
df_costumer_segmentation_2= df_costumer_segmentation.filter(items=['NumDealsPurchases',
'Mnt','Income']).copy()
df_costumer_segmentation_2.head(n = 5)
| NumDealsPurchases | Mnt | Income | |
|---|---|---|---|
| Card_ID | |||
| 10003075 | 0.166667 | 0.470755 | 0.477529 |
| 10003076 | 0.166667 | 0.584325 | 0.597906 |
| 10003078 | 0.500000 | 0.381957 | 0.492624 |
| 10003079 | 0.166667 | 0.507754 | 0.483320 |
| 10003080 | 0.833333 | 0.026446 | 0.107343 |
from sklearn.mixture import GaussianMixture
# import hierarchical clustering libraries
import scipy.cluster.hierarchy as sch
from sklearn.cluster import AgglomerativeClustering
clustering = AgglomerativeClustering(n_clusters=4).fit(df_costumer_segmentation_2)
df_treated['value_cluster2'] = clustering.labels_
df_costumer_segmentation_2['value_cluster2'] = clustering.labels_
df_costumer_segmentation_2.head(n=5)
| NumDealsPurchases | Mnt | Income | value_cluster2 | |
|---|---|---|---|---|
| Card_ID | ||||
| 10003075 | 0.166667 | 0.470755 | 0.477529 | 3 |
| 10003076 | 0.166667 | 0.584325 | 0.597906 | 3 |
| 10003078 | 0.500000 | 0.381957 | 0.492624 | 1 |
| 10003079 | 0.166667 | 0.507754 | 0.483320 | 3 |
| 10003080 | 0.833333 | 0.026446 | 0.107343 | 0 |
fig, (ax1, ax2) =plt.subplots(1,2,figsize =(15, 5))
sns.scatterplot(x = 'Income', y= 'Mnt', data = df_costumer_segmentation_2 ,hue = 'value_cluster2', palette = 'viridis',alpha = 0.8, ax=ax1)
ax2.scatter(df_costumer_segmentation_2['Income'], df_costumer_segmentation_2['Mnt'],
c = GaussianMixture(n_components = 4, random_state = 100, covariance_type='full').fit_predict(df_costumer_segmentation_2),s=40, cmap='viridis',alpha= 0.8 )
ax1.set_title('Clustering with Agglomerative Clustering')
ax2.set_title('Clustering with Gaussian mixture')
ax1.set_xlabel('Income')
ax1.set_ylabel('Total amount spent')
ax2.set_xlabel('Income')
ax2.set_ylabel('Total amount spent')
plt.show()
fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(17, 6), dpi=300)
jet = plt.get_cmap('viridis')
colors = iter(jet(np.linspace(0,1,4)))
for i in range (0,4):
size = df_treated[df_treated['value_cluster2'] == i]['NumDealsPurchases'].size
percentage = round(size/Total*100,2)
sns.histplot(df_treated[df_treated['value_cluster2'] == i]['NumDealsPurchases'],
ax = axes[i], bins = 20 ,color=next(colors)).set_title('value_cluster ' + str(i+1) + '\n' +' (N = ' + str(size) +') ' + str(percentage) + '%')
res = stats2 (df_treated[df_treated['value_cluster2'] == i]['NumDealsPurchases'])
axes[i].text(0.1+i*1.2, -0.15, 'Mean = ' + str(res[0]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.2, 'Skewness = ' + str(res[3]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.25, 'Q1 = ' + str(res[1]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
axes[i].text(0.1+i*1.2, -0.3, 'Q3 = ' + str(res[2]), transform=axes[0].transAxes, fontsize=10,
color= 'k')
for i in range (1,4):
axes[i].set_ylabel('')
plt.show()